Next Article in Journal
Iris Recognition Method Based on Parallel Iris Localization Algorithm and Deep Learning Iris Verification
Previous Article in Journal
A Weighted-LSM Method to Improve Classification and Concentration Evaluation from Laser-Induced Fluorescence Spectra
Previous Article in Special Issue
Energy Harvested and Cooperative Enabled Efficient Routing Protocol (EHCRP) for IoT-WBAN
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

A Survey on Wireless Wearable Body Area Networks: A Perspective of Technology and Economy

1
Faculty of Information Technology, University of Central Punjab, Lahore 54590, Pakistan
2
School of Electrical Engineering and Computer Science, National University of Sciences and Technology, Islamabad 44000, Pakistan
3
Faculty of Computing & A.I., Air University, Islamabad 42000, Pakistan
4
Computer Science & Engineering Department, Al Baha University, Al Baha 65799, Saudi Arabia
5
Department of Computer Science and Engineering, Chungnam National University, Daejeon 34134, Korea
*
Author to whom correspondence should be addressed.
Submission received: 5 September 2022 / Revised: 27 September 2022 / Accepted: 27 September 2022 / Published: 11 October 2022

Abstract

:
The deployment of wearable or body-worn devices is increasing rapidly, and thus researchers’ interests mainly include technical and economical issues, such as networking, interoperability, security, power optimization, business growth and regulation. To address these issues properly, previous survey papers usually focused on describing the wireless body area network architecture and network protocols. This implies that deployment issues and awareness issues of wearable and BAN devices are not emphasized in previous work. To defeat this problem, in this study, we have focused on feasibility, limitations, and security concerns in wireless body area networks. In the aspect of the economy, we have focused on the compound annual growth rate of these devices in the global market, different regulations of wearable/wireless body area network devices in different regions and countries of the world and feasible research projects for wireless body area networks. In addition, this study focuses on the domain of devices that are equally important to physicians, sportsmen, trainers and coaches, computer scientists, engineers, and investors. The outcomes of this study relating to physicians, fitness trainers and coaches indicate that the use of these devices means they would be able to treat their clients in a more effective way. The study also converges the focus of businessmen on the Annual Growth Rate (CAGR) and provides manufacturers and vendors with information about different regulatory bodies that are monitoring and regulating WBAN devices. Therefore, by providing deployment issues in the aspects of technology and economy at the same time, we believe that this survey can serve as a preliminary material that will lead to more advancements and improvements in deployment in the area of wearable wireless body area networks. Finally, we present open issues and further research direction in the area of wireless body area networks.

1. Introduction

Wireless networks have become an indispensable part of social, defense and healthcare applications. These applications have received very swift support from different wireless network interfaces such as Personal Area Network (PAN), Body Area Networks (BAN), WiFi 802.11, WiMAX and cellular [1,2]. These technologies are extensively being used in healthcare systems [3]. In addition, they are also very benign in social gatherings, which can be envisioned from the popularity of wireless communication when friends or guests are sitting at a coffee cafe or hotel and share some information using WiFi or Bluetooth; passengers can pay for their tickets at a ticketing booth while connecting their mobile or smartphone to the electronic booth wirelessly. Similarly, it has also been observed that passengers traveling on a train or bus have demonstrated a need to have a hotspot (ad hoc network) of mobiles and smartphones for data sharing. In addition to all that usage, the application market of mobile and smartphones is becoming saturated day by day, and novel paradigms in mobile devices and sensors are arising in different dimensions of human life. These are basically the wireless wearable body area networks [4], which are assuring the improvement in the quality of human health, which was not possible for smartphones and mobiles to achieve alone. The terms “wearable”, “wearable devices”, “wireless BAN (Body Area Network)” or “wearable technology” are interchangeable. Similarly, wireless wearable body area networks and wearable wireless body area networks are also used interchangeably in the literature. These terms refer to small electronic or mobile devices, microchips, or other computing devices that possess the capability of communicating data wirelessly. Furthermore, these devices are fabricated into gadgets, clothes, or accessories that can be worn, patched on the body, or devices that can be implanted, injected or ingested in the body [5].
The outstanding use of wearable/body-worn technology is giving rise to new dimensions in textile, sports, medicine, healthcare, and fitness applications, putting them into a bigger category of wireless networks known as Wireless Body Area Networks (WBANS) [6,7,8,9]. Smartwatches, wristbands, smart glasses, smart jewelry, electronic garments, skin patches, etc., are a few examples of such body-worn or wireless wearable devices [10,11]. They can easily be integrated with smartphones, laptops, or data servers using any of the wireless technologies shown in Figure 1.
Figure 1 shows how wearables monitor a person’s health and how the health data can be transferred to smartphones. There are a lot of videos available on YouTube that show how health monitoring smartwatches can be integrated with smartphones, mobiles, or laptops to monitor life-critical information. One such channel that can be found on this topic is “Jimmy is Promo”, which has uploaded a very good video tutorial for connecting a vital sign monitoring smartwatch to a mobile phone [12].
One of the best surveys on the consumer’s attitude toward the use of connected and wearable BAN health devices was carried out by Victoria Lambert [14]. This study was carried out on the people of the United Kingdom (UK) to assess how they see these devices being used in healthcare. It is a 2016 study, but it clearly predicts the future perspectives of the adoption of wearable BAN devices at individual, group (troops, BBN, etc.), and organization (hospital) levels. It shows that more than 80% of people want to have wearable BAN devices in healthcare systems. This study shows that different people are using these devices for different purposes, as shown in Figure 2a. Presently, it can be seen from the data how extensively these devices are being shipped and used.
The use of wearable BAN devices has been increasing very rapidly for the last couple of years. Different reports have shown the present and future trends of usage of these devices. For instance, a 17% CAGR (Compound Annual Growth Rate) of the wearable BAN market is expected between 2021 and 2025, which was recently reported by Business Wire (UK) [15]. A separate section (Section 3) is dedicated to a global market of wearable BAN devices whose increased popularity and adoption have resulted in a reduction in mortality rate, patient visits and admissions to emergency departments, and costs per patient. Figure 2b shows quite encouraging figures of these parameters in terms of reduction in the percentages of the above-mentioned variables [16]. It affirms the well-being of human health due to the use of wearable BAN devices at personal, mobile (ambulance, travel, troops), and organizational (hospital) levels [17].

1.1. Research/Survey Methodology

Since this manuscript is a survey article, it may require a lot of citations and references from other journals, conference articles, books, lectures, audio/video tutorials, business reports, blogs, websites, and published and even unpublished material. We believe in a fair and unbiased research methodology. We tried our best to keep ourselves unbiased in citing and referencing the material and include justifiable content regardless of the fame and ranking of the publishers. Our study does not promote any publisher or journals as sometimes observed and heard in research groups. However, the major keywords used to search the contents were “wearable devices”, “body-worn devices”, “wireless wearable body area networks”, “wireless technologies used in WBAN”, “wearable wireless technologies”, “wearable wireless protocols”, “WBAN security threats”, “WBAN wireless security protocols”, “state of the art wearable security protocols”, “WBAN and Wearable regulatory bodies”, “wearable Compound Annual Growth Rate”, “wearable CAGR”, “wearable WBAN challenges”.

1.2. What Questions Does This Survey Answer?

This survey efficiently answers the following questions.
1.
What is a wireless wearable body area network and its communication architecture?
2.
What sensors are used in Wearable Wireless BANs, and what end products and solutions are available in the market?
3.
What are the potential wireless technologies used to develop WWBANs, and what security threats and control measures are available?
4.
What does the future hold, and what major challenges do the wireless wearable body area devices have to face?
5.
What are the major projects and research directions in this area?

1.3. Contributions

We believe in contributive and productive studies, which is why we have put in the best of our efforts to make this article productive and cultivatable for the broad spectrum of viewers. We have gone through many survey articles; the majority of them focus on a limited set of WBAN perspectives. For example, Hajar et al. [18] discussed WBAN security, privacy, and energy harvesting concerns but did not discuss WBAN sensors, medical and non-medical devices, growth rate and regulatory bodies. Some articles, such as that of Kim et al. [19,20], were found to only emphasize the dynamic resource management perspectives of WBANs and the resource allocation at the MAC layer. Asisha et al. [21] discussed the WBANs MAC layer. Propagation characteristics and channel modeling for Internet of Bodies (IoBs) using human body communication are reviewed by Kadir et al. [22]. Therefore, the major contributions of this study are listed below, which help a prospective reader to judge the productivity and usefulness of this study. Zhong et al. [23] only bring WBANs technical requirements and challenges into discussion.
1.
During our study on WBANs, we found that a majority of the reports focus on only a particular set of viewers as discussed above.
2.
The present article addresses maximum perspectives of wireless wearable body area networks such as architecture, components, sensors, devices, health systems, wireless technologies, security concerns, projects, regulations, and most important, and Compound Annual Growth Rate (CAGR).
3.
A special section is added in this survey that focuses on the emerging WBAN technologies, such as energy harvesting, human body communication, quantum computing, graph neural networks (GNN), artificial intelligence (machine and deep learning), blockchain, and digital twins. Such a section is rarely seen in surveys or review articles.
4.
Since the article is interdisciplinary, technical terms of a particular field are briefly explained on the spot so that a specialist of one field may understand the concepts of another without repetitive switching from this article to another.

2. WBAN Technical Issues

2.1. WBAN Architecture

WBANs consist of a control unit and sensors. These sensors might be implanted in the body (implanting medical devices IMB) or they might be wearable, body-worn, or body-patched. These sensors can communicate with each other or with the help of a control unit using a wireless link. They can monitor vital health signs such as “Body Temperature”, “Blood Pressure (BP)”, “Respiration Rate (RR)”, “Skin Perspiration”, “Blood Glucose”, “Heart Rate (HR)”, “Oxygen Saturation”, “Electrocardiogram (ECG)” etc. The sensors can also capture similar parameters from the environment, such as pollution, which is directly linked to cardiac and pulmonary diseases [24].
In the sequel to the figure, Figure 3 shows how data from a smartphone/gateway/ coordinator can be sent to a centralized repository (medical server) for medical and paramedical staff to take necessary decisions. This server might be cloud-based to provide 24 h service to different stakeholders [11]. A typical architecture of a wireless wearable BAN is shown in Figure 3. In this architecture, the communication system is divided into three layers as follows [25].
Layer-1: An intra-BAN devices communication tier, where different sensors collect body vital signs such as BP, HR, sugar level, ECG, etc., and they pass it to the control unit or even directly to the gateway depending upon the wireless link.
Layer-2: This layer is a setup of inter-BAN communication in which the body coordinator sends information to a personal server that might be a smartphone, mobile, PDA, or laptop.
Layer-3: From the personal server, the health information is accessed by different medical or paramedical entities such as caregivers, doctors, or health systems/subsystems using an internet connection (Satellite, GPRS).
The evolutionary perspectives of the discussed architecture can be reviewed from the article published by Aleksandr et al. [5], which provides a very comprehensive overview of state-of-the-art wearables, their communication, history, and challenges.

Components

The following is a list of components that are necessary to make a wireless wearable body area network [25,26].
Sensors are devices that take some input from physical surroundings and respond to it [27]. Biosensors are concerned with the vital sign monitoring of living beings [26]. They may be used to collect health information such as BP, HR, ECG, and body temperature and transmit it to a BAN control unit [28]. The requirement of body sensors is that they must adhere to lightweight, low power consumption and fast switching between sleep and wake-up mode for energy saving. Moreover, the material used to make sensors should not be harmful to the human body. Controller Unit or Sink receives data from the sensor and transmits it to the gateway or personal server. It can also generate alerts upon receiving abnormal values of vital signs [28]. Antena is responsible for the basic transmission and reception of data. It must be small, lightweight, human-body favored, and operate at high frequencies. The design of a flexible, small size and power-efficient antenna for wireless wearable body area networks is proposed by Karthikeyan et al. [29]. Similarly, as a key component, a high-performance UWB antenna for WBANS was also designed by Yazdandoost et al. [30]. The authors used two layers of a substrate to nullify the effect of a human body on the performance of a proposed antenna. Other intelligent antennae designs for wireless wearable body area networks are proposed by Zhang et al. [31,32]. Communication is the major component of WBANs. Wireless mode of communication is used by BAN nodes to make transmissions, but it must lie in those frequency bands that are not resilient to interference caused by the co-existence of similar networks [26]. Therefore, there should be a barrier that can avoid mixing frequencies while operating in real-time setups. The communication protocol must ensure seamless handover when the BAN user leaves the covering area of one gateway and enters another. Some of the techniques proposed for this component are [33,34,35]. Moreover, a detailed survey on vertical handover techniques for integrating wireless body area networks with other heterogeneous is documented by Saurav et al. [36]. Security is another key part of WBAN communication that must ensure the data do not leak and no malicious entity hacks or cracks it [26]. Strong access control and encryption techniques need to be applied to BAN data when they are transferred from the body to some centralized repository. Personal Server or Gateway is another important component that resides between BAN controller and the cloud, i.e., internet. It receives data from the BAN control unit and passes it to the cloud or centralized medical server [28]. Internet link is also a crucial component that is responsible for securely (use of VPN, IPSec, SSL, TLS, etc.) transferring health information from the local gateway to a remote centralized server. The link should be reliable in terms of security, availability, and turnaround time [37]). There must be a component called alerts mechanism that should generate alerts in different critical conditions, such as reception of abnormal vital sign signals or when the battery power critically goes low, etc. [28]. There has to be a medical server (centralized repository) where data could be stored and retrieved at any time by caregivers, physicians, or other data consumers [28]. With only BAN users (such as patient, sportsman) and medical staff (such as caregivers, physicians), the BAN is incomplete. Therefore, all the components discussed above are used to connect BAN users and medical staff.

2.2. Types of Sensors

Wireless Wearable BAN Sensors are the product of collaborative and mutual research efforts of researchers belonging to different fields of science and engineering; Figure 4 represents this well. Each sensor in a wireless wearable body area network is completely provided with communication capabilities and can act as an autonomous device [25]. Wireless wearable BAN architecture that is used to send health information to remote medical servers can have different types of sensors. In this study, they are discussed on the basis of implantation and their functions. The discussion about them is equally beneficial for the wireless wearable BAN user, practitioners, engineers, and designers.
On the basis of implantation, wireless wearable BAN sensors are categorized into five main types to assure the success of a healthcare system [25,38].

2.2.1. Type-I Implantable

These are sensor nodes that are implanted inside the human body, such as pacemakers (e.g., Medtronic Micra) [39,40]. The importance of these sensors can be understood from research efforts being made to help blind people to see [41]. One of the fruitful outcomes of this effort is the retina prosthesis chip, which is implanted inside the human eye, and persons who are visually impaired may be able to see at a reasonable level [42]. Pacemakers are the most widely implanted devices in the human body under the chest or abdomen. The sensors of pacemakers are used to monitor cardiovascular irregularities. Medtronic Micra is one of the examples of pacemakers that have quite a long life (12 years) and can be scanned by MRI (Magnetic Resonance Imaging). Intra-Cranial Pressure Monitoring Sensors monitor the pressure that rises up due to the irregularities of cerebrospinal fluid, head injuries, or as a consequence of cerebral edema. These may lead to severe brain damage, nervous breakdown, or death. The most popular sensor used implanted in the human body for detecting the irregular changes in the value of ICP and IOP are MEMS pressure sensors and RF oscillators. Both types operate at 2.4 GHz. IOP stands for Intra-Ocular Pressure whose irregularity may cause intraocular pressure, which is carefully regulated, and disturbances often result in issues such as glaucoma, uveitis, and retinal detachment [43]. Glaucoma is a set of eye conditions that may break an optic nerve; it is often caused by high blood pressure and may lead to vision loss. Uveitis is an eye inflammation that causes glaucoma. Retinal detachment is an emergency eye condition in which the retina becomes detached from blood vessels, stopping oxygen supply to it. Cardiovascular Pressure Sensors observe the narrowing of the blood artery even after angioplasty, which is called restenosis. Continuous monitoring of chronic blood pressure that may cause heart failure, hypertension, or restenosis is very necessary. One of the recent developments in this regard is the FDA-approved chronic blood pressure monitoring device from CardioMEMs that helps detect heart failure. In addition to this, other recommended devices for chronic blood pressure monitoring are MEMS capacitive sensors, surface acoustic wave resonators, and accelerometers. Neurosensors have received a lot of interest from the research community for dealing with addiction, epilepsy (brain disorder), Parkinson’s (neurological movement disorder), and Alzheimer’s (gradual loss of memory) disease, etc. One of the reported cases is the RFID-inspired neurosensor considered for a wireless brain–machine interface, which is battery-less and the energy storage is accomplished using the concept of RF energy harvesting [44]. Similar research work is presented by Xiang et al. in which authors have proposed and tested a self-powered brain machine that harvests energy from the movements of a human body part and sends a signal to the brain to cease some action [45]. Glucose sensors/meters are mostly referred to as amperometric sensors. Glucose sensors are meant to determine the blood sugar level of a person while playing an important role in dealing with diabetes mellitus. Most people in their homes use a finger-pricking method to test their blood sugar level. However, with the progression of research in wireless communication, computer science, engineering, chemistry and material sciences, the dream of under-skin wearable devices has become a reality [46]. These sensors can be used for 90 days [47]. The registered devices being used for continuous monitoring of sugar levels in the blood are GlucoWatch® Biographer, CGMS® and GlucoDay® [48]. There was a breakthrough in wearable smart textiles with the production of lightweight and mechanically robust wearable electronics that are based upon bio-inspired muscle fibers [49].

2.2.2. Type-II Ingestibles

These sensors are small in size and can be ingested similarly to pills. These sensors are mostly used in ingestible capsules that are disposable and used to diagnose the correlation between ingested pharmaceutical drugs and physical activities of body responses such as heartbeat, quality of sleep and blood pressure, etc. [39]. Imaging capsules are the sensors that are passed through the gastrointestinal tract as disposable capsules. These can provide real-time data in the form of images or videos about the small bowel, gastrointestinal tract, esophagus, and large intestine at a rate of a maximum of 2 Mbps. Transmitted data by these imaging capsules can be used for different diagnostic purposes. For example, these devices are one of the best alternatives to aggressive endoscopic procedures, which may cause the generation of different gases in the human body (gut) revealing a strong correlation to gastrointestinal disorders [39].

2.2.3. Type-III Injectables

Nano-technology is now going to bring a great revolution in bio-medical technology. This is a predicted future of biomedical devices with such a small size that would allow them to be injected with the help of a syringe [39]. Injectable micro-sensors are very small-sized sensors with a thickness of a few human hairs and the length of a rice grain. Recently, a demonstration of injectable bio-sensors was given by Profusa Inc. [50]. In their demonstration, they injected bio-sensors called Lumee Oxygen sensors using a needle. The injected sensor has the capability of observing oxygen levels in the tissues around it [39]. pH sensors have significant importance in monitoring tumor growth and the effectiveness of anticancer treatments. American scientists have developed pH sensors that are based on nanocrystal quantum dots and operate in the human pH range. These are injectable devices that can monitor the growth of tumors on a real-time basis [51].

2.2.4. Type-IV Patchable: Body Surfaced/Patched

Sensor nodes that can be patched on the surface of a human body in their direct contact with it for establishing the communication network of on-body devices are termed as patched or surfaced wearable or simply patchable. The attraction of patchable devices is increasing in the biomedical industry due to their interfacing with skin on a cellular to molecular level. They are spatiotemporally precise in terms of bio-sensing for diagnostic and therapeutic purposes [52,53]. High blood sugar is a disease, but if monitored regularly, the chronic effects can be mitigated. Patchables are playing a very key role in achieving this [54]. A very promising study has been carried out on measuring the effects of ultra-violet radiations on the body using patchables [55]. A very brief but smart study on patchable sensors can be seen in [56,57]. This setup is used for providing an ambulance-based health monitoring system for a person [40].

2.2.5. Type-V Proximity-Based Devices

Sensor nodes that are installed in close proximity (5–10 cm) to the body surface, e.g., smartphones and smartwatches, help in monitoring body fitness, where the values and results of vital signs are displayed on smart devices. Sweat-powered wearable electrochromic biosensors are one great contribution that provides a non-invasive way of monitoring lactate concentration (high means lack of oxygen) in the body [58]. WBAN devices are very diverse in nature. To monitor the same life sign in humans, they can be found in different forms such as implantable (in-body), body-surfaced (on-body), and wearable. This provides a great choice for a person trying to select a health monitoring sensor for a particular vital sign observation [59].
Oximeter sensors are used to find the oxygen absorption (saturation) level in body cells. Devices make use of the human fingertip to find the values. Oxygen absorption level is one of the critical vital signs that determines how well the oxygen is being provided to body cells by the red blood cells to keep them alive [60]. Low oxygen supply turns the red color of the tissue to blue, which means their life is shortening. It also greatly damages the functionality of your brain. The World Health Organization (WHO) has also provided a very good tutorial on using an oximeter on its website [61]. However, the detailed principles of the oximeter are beyond the scope of this study but can be retrieved from [62]. A well-known example of this device is the Welue O2 Ring Oxygen Monitor, which is shown in Figure 5.

2.2.6. Type-VI Textile Structured Devices

These are the structures and materials that sense and react to environmental factors. They are being used in the textile industry, telecommunications, biochemistry, bio and information technology, etc. Textile-based sensors have obtained significant attention in smart wearable technology. They are low-cost, comfortable, and flexible. They can be used remotely to observe the physiological parameters of the human body [64]. The development of textile-based energy storage devices are outstanding research works that can be used in wearable technology to address the power consumption issues [65]. Advances in wearable electronics are going to replace spacey, non-flexible and uncomfortable wearable electronics [66]. In addition, printed textile batteries are also being researched for wearables, which will mitigate energy problems of these devices [67].
This diversity is summarized in Table 1. In addition to this, one of the surveys reports that based on transducing mechanisms of biosensors, we can categorize them into optical and thermal detectors, resonant, Ion-Sensitive FETs (ISFETs) and electro-chemical biosensors [68]. Another survey that sheds light on the biosensor and their state-of-the-art development is carried out by Naresh et al. [69]. These articles are good enough to review.

2.3. Wireless Technologies

Wireless body area networks are found in the form of sensing devices implanted on or inside the body of a living organism. These devices are extensively used for monitoring vital signs of the body using wireless transmission protocols. However, the researchers agree that Wearable WBANs are different from the WSNs, and their requirements vary from the WSNs as well. This is the reason that present protocols that are designed for WSNs are not compatible with the needs and requirements of wearable WBANs. These differences are: the number of nodes deployed in WSNs is considerably higher than the WBANs, and there are no duplicated or redundant nodes placed in WBANs but deployed in WSNs. Such differences create communication complications at different layers of the network protocol stack. Similarly, there are hard and fast limits on device size and power consumption in the case of WBANs as compared to WSNs. In addition to that, because WBANs are concerned with the collection and transmission of critical life information, the reliability, security, throughput, and delay of such scenarios are of high importance compared to other wireless network applications [70]. One of the distinguished aspects of wearable WBAN devices is that each device is deployed or implanted to perform a different task. There is a high level of heterogeneity in WBAN, which ultimately asks for different designs and implementations, whereas in WSNs, the nodes are supposed to perform tasks of a similar type or nature, showing a great homogeneous feature. Application of body-worn devices may include capturing of health data and transferring it to a processing server, collecting acceleration information to control robots, or giving commands and instructions to the game controller or console.
Looking at the above discussion on the nature of the WBAN devices, it can be concluded that the selection of wireless technology to be inducted for wearable or WBAN devices is very critical. Bandwidth, power, range limitation, and the nature of the application of wearable WBAN devices determine the type of wireless technology to be decided. Therefore, no single wireless technology satisfies all wearable WBAN applications and scenarios [71]. The most dominating wireless protocols in the WBANs, wearable or body-worn industry are Near Field Communication (NFC), Bluetooth Low Energy (BLE), Bluetooth Classic, Zigbee, 802.15.6 WBAN, WiFi, LoRa, ANT, ANT+, and Cellular [70,71,72,73].
Figure 6 gives a quick glimpse of all these protocols. We would like to mention that these wireless technologies can be considered the candidates for intra-BAN (e.g., UWB, Bluetooth, Zigbee, WiFi), inter-BAN (Bluetooth, Zigbee, WiFi, Universal Mobile Telecommunications System (UMTS/GPRS), and/or beyond-BAN (GPRS/UMTS, Internet, WiFi, Cellular Networks, multi-hop 802.11 internets, Global System for Mobile Communications (GSM)) communication [74].

2.3.1. NFC

NFC stands for Near Field Communication and highly suits the wearables that are extremely power-constrained and required to transfer data for a range of a few centimeters, that is, about 4cm-10cm. The NFC device operates in two modes, i.e., passive and active. In passive mode, the NFC does not consume any energy, whereas in active mode, it draws energy almost equal to BLE. NFC-enabled smart devices can be paired with body wearers such as smart suits and jackets to process cardless payments. Similarly, they can be used to open doors and even transmit health information. NFC is also being used extensively in smart jewelry, wrist-worn wearables, E-Skin and E-tattoos [72]. Attacks on NFC-shared secret keys and certificate-based solutions have been proposed in [73].

2.3.2. ANT

ANT is one of the emerging wireless protocols for WBAN health monitoring applications. ANT stands for “Advanced and Adaptive Network Technology”. It is suitable only for low-speed and low-power WBAN applications. Several health monitoring sensor manufacturers are using this protocol. Different wearables are also operating in ANT, Bluetooth 4.0 or WiFi mode [72].

2.3.3. RuBee IEEE 1902.1

RuBee is one of the strong contestants of WBAN wireless protocols due to its low energy consumption, long-life battery, security, and stability. It sends small-size data packets of 128 bytes using long-wave magnetic signals. It makes use of low-frequency waves, i.e., 131 kHz, and is considered to be a slower technology compared to other wireless communication technologies, such as 802.11. The frequency at which this wireless technology works is not vulnerable to attenuation induced by metallic or liquid substances. This is the reason why RuBee devices can be sustained in harsh environments [74].

2.3.4. Sensium

Sensium is a low-power on-body technology for steady monitoring and observing of patient health [75]. It can send information to smartphones, mobile phones, laptops, and PC devices wirelessly, which is sent to a medical entity (medical servers, doctors, paramedical staff) for further action. Sensium sensors become alive only when they have reached a time slot to transmit data; otherwise, they keep themselves in sleep mode to save energy [74]. Presently, Sensium is one of the most widely adopted patient health monitoring systems. Figure 7 is the real Sensium copyright picture in which the Sensium patch is being placed on the patient’s body for vital sign monitoring. We reproduced this picture from the open access article [57]. From this figure, the importance of wearable WBAN devices in terms of patient health monitoring can be imagined. This acted as one of the most promising technologies for remotely treating patients with COVID-19, where people were required to stay at home as much as possible.

2.3.5. Zarlink

Zarlink is energy efficient, one of the pioneering wireless protocols used in health care and diagnostic applications, and is equally good in implanting cases of WBANs. The cameras swallowed by a patient for the purpose of diagnosis and deep investigation of the gastrointestinal tract usually use Zarlink technology. The Zarlink-based camera is also used to send back videos of the tract in a timely manner with good quality [74]. It can operate in one of the two modes, i.e., IMD (Implantable Medical Device) mode and base mode. It consumes minute power ( μ W) in IMD mode and was announced as an energy-efficient device [76].

2.3.6. Z-Wave and Insteon

Both are open and proprietary wireless mesh technologies developed for home automation. Z-wave operates at 2.4 GHz, whereas Insteon leveraged the features of powerlines and the 900 Mhz ISM band [77]. It is used for smart homes but can be discussed as a candidate of WBAN wireless protocol for being the competitor of X10, UPB, Z-Wave, ZigBee, Bluetooth, BLE, and WiFi. Z-Wave is the next-generation wireless technology that makes use of low-powered and reliable waves, which have the capability of passing through walls and solid objects. It is believed that these are quite good protocols for wireless body area networks that are based on these technologies [74].

2.3.7. Bluetooth Classic

IEEE 802.15.1 Bluetooth is one of the successful wireless technologies for short-range communication with high security [78]. The compelling feature of Bluetooth is that it permits a large variety of Bluetooth-supported devices to make connections and establish communication with one another. One active device called a master can connect itself to seven active slave devices in a single ad hoc network called a piconet. It connects to 255 inactive slave devices, also called parked nodes, which can be activated by the master at any time. Parked nodes are kept in low power mode for energy conservation. Bluetooth-enabled devices operate in the 2.4 GHz band [79]. Their transmission range may vary from 1 to 100 m, and the maximum data rate could be 3 Mbps. Bluetooth is observed to be used in different areas of telemedicine and e-health systems. In addition, high bandwidth requirement, high energy consumption, longer pairing times, and a small number of devices in the network make this technology less suitable for wearable WBANs [70].

2.3.8. Bluetooth Low Energy (BLE)

BLE is an advanced and improved version of the classic Bluetooth that claims to be quite suitable for the WBAN devices due to its fewer energy requirements and low duty cycling rate [71]. It was designed to connect tiny devices with mobile devices, but due to low energy consumption, it is considered to be a great wireless technology for wearable and healthcare devices. Its synchronization time is less than the classic Bluetooth, and it uses adaptive frequency hopping and fewer channels for pairing. It also operates in the 2.4GHz (ISM) band as that of classic Bluetooth, which may cause interference with other devices operating in the same band. It suits the scenarios where a high data rate is required for a short period with low power consumption such as peer–peer communication between the wearable sensors and the access point (AP) or between WBAN devices connected in an ad hoc mode or between two WBAN devices or between a WBAN device and the mobile, laptop or personal computer. However, it cannot be ignored that in critical scenarios where frequent and steady reporting of health parameters is required, BLE seems to lack behind in the race of other favorable wireless technologies for WBANs devices [70]. In addition to this, BLE has not become common among the different vendors of wireless technology.

2.3.9. Zigbee

Zigbee is the combination of two technologies, Zigbee Alliance and the IEEE 802.15.4. Zigbee Alliance defines the application layer, i.e., network, security and applications software. The IEEE 802.15.4 module specifies the MAC and physical layer. Every Zigbee network consists of three types of devices, which are coordinator, router, and end-device. The job of a coordinator is to start and manage all sorts of connectivity and routing operations [78]. Its transmission range is a few hundred meters, but power consumption is higher than BLE [71]. This technology is highly suitable for applications where the device needs to run for several years [79]. The energy consumption of ANT > Zigbee > BLE [80]. However, at the same time, BLE has a very low data rate and operates in 868 MHz, 915 MHz, and 2.4 GHz bands, which may cause interference with devices that are already operating at 2.4 GHz. It is not suitable for large-scale real-time wearable WBAN scenarios, but it is good for single-user personal use. The Zigbee rate of suffering from channel fading is high, implies long delays in transmission of health data, which declares it unsuitable for critical WBAN application and is required to carry urgent data without such delays [70].

2.3.10. Ultra-Wideband (UWB)

UWB has been standardized by IEEE 802.15.3, providing wider bandwidth for high data rate WPAN applications designed for transmitting multi-media data (images and videos) [81]. The high data rate features of UWB make it very supportive for a number of wearables and body sensors that are used for remotely monitoring the patient’s health. These are not the only features that make it a good candidate for wearable and BAN applications, it is also a power-efficient technology. Low energy consumption increases the life period of wearable and BAN devices while helping to transmit more data. UWB can be applied in two forms, multi-band OFDM (Orthogonal Frequency Division Multiplexing) UWB and IR (Impulse Radio) UWB [82,83]. IR-UWB is more suitable for low-resource wearables and WBAN devices because it consumes less energy compared to multi-band OFDM UWB. IR-UWB uses a very short pulse to transmit data, which makes it energy efficient and very suitable for short-range WBAN data transmission [25].

2.3.11. LORA

LORA stands for Long Range, which is long-range low-power wireless communication technology. It was developed by Semtech and has become a de-facto standard for IOT networks [71]. It is extensively being used for low power wide area networks (LPWAN). The open source feature of LORA enables organizations to build an autonomous, low-power, and long-range communication system at a very economical cost [84]. The standard LORA follows security features, as shown in Table 2.

2.3.12. WBAN IEEE 802.15.6

The first standard that was designed especially for the WBANs was IEEE 802.15.6. In some cases, WiFi technology is being used for information acquisition in such a way that fixes the direct communication between the sensors (for data acquisition) and directly transfers it to mobile or PC without the intervention of any intermediate relaying or routing devices [78]. Most medical, non-medical wearable and on-body WBAN devices have adopted this standard for communication. Similarly, different wearable wireless devices have been attracted toward this technology due to its support for a wide range of data rates, low transmission power, low range, and connecting a quite reasonable number of wireless devices (256) on the body in a single WBAN. It operates in different frequency bands, for instance, Narrow Band, Ultra-Wide Band, and 2.3 GHz and 2.4 GHz bands. No doubt, this standard fulfills most of the requirements laid out by the WBANs. However, the standard is unable to fit in the emerging scenarios of WBANs such as running, sleeping, jogging, sitting, laying, etc. In addition to this, BANs substandard HBC (Human Body Communication) is not a promising wireless communication technology for the WBAN applications, which are required to transmit audio or video data [70,79]. Similarly, some of the bands, such as UWB, can be used only by authorized users. Now, the research community has united on this point that the 2.4 GHz band is the most appealing one for wearable, body-worn, and WBAN medical applications. In addition, all other properties are discussed in Section 2.3.13, and it has the capability of guarding against channel interference. The IEEE 802.15.6 working group has defined Physical and MAC layer modules of the WBANs that are ultra-low power, low cost, less complex, and short range. They provide communication services inside and over the human body. IEEE 802.15.6 central node can interact with Bluetooth, BLE, ZigBee, UWB, NFC, RFID, Zarlink, RuBee, Sensium, Insteon, Z-wave, and ANT/ANT+ [86].

2.3.13. WiFi

IEEE 802.11 named WLAN or WiFi is a widely adopted wireless technology in mobiles, smartphones, tablets, PCs, laptops, PDAs, etc. [71,79]. We believe 2.4 GHz is also the most suitable wireless technology to be adopted at a large scale for wireless wearable and WBAN medical applications [70]. It is highly appropriate for large data transfers at higher bit rates [78]. However, at the same time, we cannot ignore the energy consumption of this technology. Fortunately, at the same time, a modified version of WiFi called Low Power WiFi has been researched in wireless sensor networks. This low-power WiFi has been outfitted with reduced transmission power, low-duty cycling operation, and optimized energy consumption features. WiFi is already positively acknowledged for its security and QoS traits. WiFi technology is commonly observed in homes, marts, hospitals, banks, and handheld smart devices. Therefore, it can be concluded that the integration of these low-power WiFi-enabled devices with the networks in their vicinity is quite compatible and easy. WiFi is the only wireless technology, which in addition to lower transmission power and energy optimization capabilities, supports multimedia applications such as live audio/video streaming, which is not possible with NFC, Bluetooth, Zigbee, LORA, and ANT. The prime logic for inducing low-power WiFi in wireless sensor networks is to bring about the concept of the Internet of Things. The materialization of this concept affirms WiFi to be an encouraging wireless technology for WBAN or body-worn devices [70].

2.3.14. Cellular

As far as cellular networks are concerned, smart wearable WBAN devices can directly connect and communicate with the cellular network instead of engaging themselves in bridging to communicate with them. At the same time, it can not be ignored that previous network technologies were more human-oriented. However, they have to face a lot of issues and challenges in the cases of wearable WBAN devices, especially when applications vary from low-end vital sign monitoring to high-end virtual or augmented reality applications. An example of such an application is virtual/augmented reality helmets for entertainment [87]. These applications require data rates in Gbps, which the present wireless technologies are not supporting, except the 802.11ac, which claims a data rate of 1GBps. The 5G wireless technologies have promised a data rate of Gb per second. However, due to the hardware cost and complexity, a wearable would not be able to take full advantage of these wireless technologies. Thus, due to the requirement of low energy consumption, no bright use of cellular wireless technology is observed in the perspective of wearable, body-worn WBAN devices. However, in the future, we hope to have such technology for the wearable, body-worn types of WBAN applications.
In addition to discussing these wireless technologies in detail, for simplicity and quick review, the summarized features of these technologies are also given in Table 3 [3].

2.4. Application of Wearable WBANS

The applications of WBANS, body-worn or wearable, range from medical, health, fitness, defense, and military to sports and entertainment. A simple view of the different applications of wearable/body-worn devices is given in Figure 8. Research communities believe in the great acquisition of wearables in medical health care, military, and sports, as they have undoubtedly been proven to bring about positive shifts in these and similar domains of life. These devices are extremely helpful in rehabilitation, monitoring and prevention of diseases, reminding patients to take medicine on time, and monitoring daily activities such as eating, sleeping, walking, and running, and most importantly, they provide timely feedback on health parameters to the centralized system [24,89]. Experts are anticipating that in the very near future, we will be able to buy such wireless wearable gadgets in medical stores.
Wearable and WBAN are also applied to Sports and Entertainment to measure the blood pressure, heartbeat, and temperature of the sportsman along with his state of motion [38,90]. There is a non-medical application of WBAN devices in the entertainment industry that supports real-time audio/video streaming, gaming, virtual reality, etc., available in the form of smart MP3 players, smart microphones and smart cameras [38,90]. BBN stands for Body-to-Body network, which is a group of wearable WBANs that communicate with one another. These WBANs are usually connected with a gateway, which plays an important role in sharing of data among these WBANs. It is a theoretical mobile ad hoc network that is emerging as a key technology for sharing data between patients and medical teams [91]. If we consider the sports field, this application can be easily deployed with the help of smart devices such as smartwatches, smart glasses, and smart helmets that can be used to perform estimation and prediction of athlete health. The simple model of BBN is shown in Figure 9. In this figure, every cyclist has a WBAN; all these BANs are connected to the ambulance.
With respect to disaster incidents, such as fires, earthquakes, cyclones (e.g., Tsunamis), tornado, bomb blasts, etc., it is believed that wearable WBANs is one of the technologies that could help people make themselves prepared for such incidents; equipping them with the tools to react against such incidents in a more effective way [92]. For example, rescue teams could be fitted out with wearables, which could gather and transmit back the exact environmental condition (such as heat, the toxicity of gases, lightning, fire, smoke, etc.) and life-critical information (such as BP, HR, body temperature, etc.). Military and Defence applications of WBANs, wearable and body-worn, include the detection of life-threatening factors regarding soldiers and assessing the fatigue thresholds of the soldier [90], whereas WBAN devices are being used for fire, injurious, smoke, and gas detection, which could prevent the death of military men in danger [38]. The most recent development of a wrist band with a 4.3 inch bendable OLED (Organic Light Emitting Diodes) display has transformed fiction into a reality. The wristband has been tested by the US army. It was funded project of the US Department of Defence to develop a thin lightweight and flexible communication device. This device has the capability to show different sources of information such as Unmanned Air Vehicle (UAV) video and images received through a computer that runs different military applications. Moreover, the device is also capable of reducing risks on the battlefield while improving the operational efficiency of troops at the same time. The rest of the technical detail can be viewed from [93]. For motivation, the band is shown in Figure 10.
Usually, people are aware of wearable BAN devices that are used by civilians, but they know less about the same types of products being used for research in the military. There are different military projects, such as “The Army’s Program Executive Office”, “FLIR SYSTEM”, etc., that have developed or are endeavoring to design more sophisticated products. There is a very good system study on the analysis of military-based wearables, which is carried out by Han et al. [94]. Some of the military projects and their products are given in Table 4.

Vital Sign Monitoring

WBAN is a network of body-worn or wearable computing devices that can be fixed inside the human body or can be implanted or worn on the body. With respect to vital sign monitoring, WBANs have two different types of uses in the healthcare sector; one is medical and the other is non-medical. For medical purposes, they are deployed to measure ECG, EEG, EMG SPO2, BP and drug injection [90]. Devices are also implanted in the body to control different diseases such as diabetes. WBAN devices are being used in non-medical areas for motion detection, for example, walking, running, jogging, etc. [38,95]. However, in the case of manpower safety, wearable WBAN not only monitors the vital signs such as BP, body temperature, pulse rate, and remaining energy but also carry out motoring of life-critical environment parameters such as carbon dioxide and carbon mono-oxide, ammonia, heat, humidity, etc. [92]. Wearables are classified into different categories based on their application in the real environment such as smartwatches, fitness trackers, smart clothing, smart jewelry, head-mounted devices, smart glasses, wearable cameras, location trackers, body sensors, implants, exoskeleton, and gesture control wearable [5,96]. For simplicity and brevity, wearables are categorized into different types.
The major smart and state-of-the-art vital sign monitoring solutions are Visi Mobile System, Aingeal, VitalSense-VS100, Zensor, QUASAR, EQ02 LifeMonitor, VitaPart-3, PERFORM, Physiodroid, etc. [97]. For more simplicity, details of these devices are given in Table 5, and their detail can be viewed from the respective reference.
In addition to vital sign monitoring devices mentioned in Table 5, there are a lot of other useful wearable and WBAN devices, which are making human lives healthier. The devices in this list may be Google Glass, Withings Scale, Sense Mother, Moto 360, Septimu Earbuds, Smart Diapers, Electronic Fork, etc. [122]. Some of the leading wearable hardware and application developers, manufacturers, and software developers are Fitbit, Medtronic, Nokia, and Philips [123]. Fit-Bit-Flex, Jawbones-Up, Nike+FuelBand, Spire are a few of the top listed wearable solutions among the popular fitness trackers. All these devices have two following common functionalities.
1.
They use sensors to determine heart beat rate, walking or running steps and number of calories burned.
2.
These devices can be connected to a computer, laptop, or mobile to communicate the results wirelessly.
In addition to these two common functions, Fit-Bit-Flex can also track (i) how many hours a person slept the previous night, (ii) the food intake, (iii) how much exercise one has performed, etc. Nike+FuelBand can track sleep hours in addition to the functions mentioned above. Similarly, Jawbones-Up is a good choice to improve sleep habits and achieve dietary goals as well. It can be interfaced with a number of third-party applications, such as MapMyFitness, Sleepio, MyFitnessPal, RunKeeper, etc. Aspire, however, is one of the most expensive devices that determines a person’s fitness based on the measured patterns of breathing instead of the activities. Garmin is one of the leading manufacturers of body-worn and wearable devices. It has launched different smartwatches, specially focusing on the fitness and performance of different sportsmen, such as divers, sail-men, pilots, and aviators, etc. [124]. Therefore, it can be concluded that wearable WBAN devices are accelerating the growth of wireless communication equipment at a rapid rate.
It is observed that most users are naive to the physiological values given by medical wearables. Some results of medical wearables, such as the values of ECG, are life-critical, and only the expert can comprehend and deduce concrete results. That is why the purpose of this study is not to make people capable of comprehending such complicated results of the medical wearable. However, on the other hand, some readings are simple, and the user can understand, comprehend and take some measures such as BP, HR, temperature, oxygen absorption, hydration and sugar level, and fall distance, etc. Therefore, the normal ranges of these physiological parameters are given in Table 6. In the absence of medical staff, the users can detect abnormalities and take necessary first aid action on the basis of measured and reference values. These values are important and must be known to the common person, which is why they are extracted and reproduced in this article instead of referring the reader to [125]. The readers who belong to the medical domain may refer to [126,127] for an in-depth study of human physiology, but it is beyond the scope of our study.

2.5. WBAN Security Issues

Applications of wearable WBANs are discussed in Section 2.4, and the scenarios similar to these applications put wearable WBANs at higher risk of being attacked by adversaries. The broadcast nature of wireless networks plays a major role in exploiting and compromising them. Because these devices carry military and life information, swift security systems must be developed to prevent data leakage, hacking and stealthy ransomware attacks [123].

2.5.1. Major Security Requirements

In addition to the device and user authentication, security is built upon a triad CIA that is a combination of three pillars. These are the major security requirements that any communication is required to fulfill, i.e., confidentiality, integrity, and availability, as discussed below.
1.
Device Authenticity: This is a very critical issue. Adversaries can implant a malevolent node in a non-line-of-sight (NLOS) location that can inject fake data and even receive legal data while acting as a legal device [128]. Thus, it is very important to validate the authenticity of the BAN devices that they claim to be [129].
2.
Confidentiality: Confidentiality ensures that the information should not be disclosed to unauthorized entities while moving from wearable WBAN source to destination [130]. However, due to the open and broadcast nature of WBAN transmission, the data can be eavesdropped and disclosed to an unauthorized party. Therefore, it is always advised to encrypt data before transmission [128].
3.
Integrity: It claims that information must reach the destination in its original form as was sent by the body-worn or wearable WBAN source; it must not be altered during its transfer. Due to the free-flying of wireless BAN frames, they can be intercepted and tampered with by the attacker, which may harm the health system or even the patient’s life [128,130]. That is why it is required to ensure the integrity of data using some message authentication techniques such as hashing or CRC. They ensure the data are not modified during the transition from one BAN device to another.
4.
Availability: One of the most disturbing attacks is DOS (Denial of Service), which is launched against a body controller unit, cloud server, or medical server. Thus, the attack can even cause a shutdown of medical services, which may impose serious life threats on patients [128,130]. For ensuring life safety and timely treatment of the patient, health network communication systems must be available whenever a WBAN source is required to send data.
5.
User Authentication/Authorization: In remotely controlled healthcare WBAN systems, only the authentic and authorized medical staff members must be able to access the data of a particular patient. User authentication can be established using well-informed mechanisms, such as username/password, PINs, fingerprints, etc. Similarly, a proper access control mechanism (e.g., Access Control Lists) must be devised to ensure authorized access to data [129].

2.5.2. Importance of Security

We have seen a number of wireless technologies being used in the WBAN industry for life-critical data collection and dissemination. If such information is stolen, it can be used for illegal activities that could result in losses to the owner in the shape of mental disturbance or financial blackmailing. For brevity, a generic set of WBANS attacks, security requirements and measures have been given in Table 7 [131,132,133,134].
Another perspective of the attacks and issues is to view them from a WBAN network stack point of view. We have observed from [131,133] that jamming and tampering are major issues at the physical layer. On the link layer, collision, unfairness, denial of sleep, traffic analysis, spoofing, eavesdropping and exhaustion are some of the issues that affect the security of WBAN devices. Similarly, the network layer also has to face different attacks such as selective forwarding, blackhole, rushing, wormhole, sinkhole, sybil, homing, neglect, misdirection, etc. Flooding and desynchronization are the most havoc attacks that are usually projected on the transport layer of the WBANs. Some of the solutions that are recommended to take control measures on the physical layer are frequency hopping, spread spectrum, tamper-proofing, and link hiding. Similarly, the link layer can be protected against mentioned security issues by using error correction codes, rate limitation and adaptation, or making use of small frames. For the protection of network layer probing, packet filtering, authorization monitoring and encryption can be used. Similarly, energy-efficient secure routing protocols are required for the long life of WBAN networks [135]. Client puzzles and authentication techniques can be used to protect from flooding and desynchronization issues on the transport layer. For a detailed review of these attacks, a reader is advised to read [136]. Unfortunately, due to its wireless nature, WBANs are highly susceptible to different network threats and attacks. For simplicity, these attacks have been categorized into active and passive. Passive attacks are designed just to listen to network traffic, whereas active attacks can make harmful changes to the WBAN data in transition or storage. Some of the common attacks are eavesdropping, data corruption and modification, replay, masquerade and impersonation [74]. WBAN wireless protocols have been reported to face different attacks, which are summarized in Table 8.

2.5.3. Technical Approaches

Encryption is a basic tool to provide confidentiality and integrity. It is achieved through the encryption key, which is a shared secret between the source and the destination. It is widely believed that security lies in the secret key’s size and in its strength, which means how much a secret key is random or uncertain in its nature. Presently, two or more nodes can agree upon a shared secret using state-of-the-art protocols such as DH (Diffie–Hellan), ECDH and RSA [154,155]. These techniques are just computationally secure methods with a sufficient amount of resources, and the adversary can breach the security implemented by DH, ECDH and RSA. Furthermore, PKI technology does not suit resource-constrained networks such as WBANs, body-worn or wearable. It has been observed that in some scenarios, wireless wearable body area network technology is very sensitive, and the information in these cases is highly classified and critical. That is why the protection of information and keeping it consistent for different stakeholders and users is very important. Different state-of-the-art security solutions are unleashed in this article to save the sensitive information of wearable WBAN technology. For more clarity, the security support of different wireless wearable BAN technologies is discussed individually and separately.

TinySec Security Solution

Wireless technology is inherently insured due to its broadcast nature. TinySec is a link layer security architecture for wireless sensor networks and is the first fully implemented security protocol for these networks [156]. It ensures authentication, integrity, and confidentiality. However, it does not deal with resource consumption, tampering and node theft attacks. For access control and integrity, it makes use of MAC (Message Authentication Codes) and encryption for privacy, and the encryption keys are pre-configured. It makes use of single a network-wide, group, and pair-wise secret key for network, group and peer–peer communication. Instead of using software-based encryption as in the case of TinySec, hardware-based encryption can also be coded with the help of ChipCon-2420 ZigBee compliant Radio Frequency (RF) transceiver. The ChipCon-2420 can execute security operations of Zigbee 802.15.4 with AES using a secret key of length 128-bit [157].

ECC

Elliptic Curve Cryptography (ECC) is one of the suitable choices for public key encryption for wireless body area networks. This suits WBAN because its small key size has been proven to be highly secure. In addition to this, it also generates a small signature. Moreover, tremendous amount of computation power is required to breach ECC. Such computation power will not exist until quantum computing becomes a reality. However, it cannot be ignored that ECC demands a significant amount of energy compared with other contemporary approaches, which provides an alternative solution for high system security [158]. An energy efficient solution based on ECC for WBAN was presented by Tianchan et al. [159]. It is worth mentioning that there are different types of encryption schemes such as symmetric key encryption, public key encryption (e.g., identity-based encryption (IBE), and attribute-based encryption (ABE)). From the list of public key-based authentication types, ABE and IBE are well-known techniques for encryption purposes. For the security of WBANs, attribute-based encryption was presented by Tian et al. [160], whereas ID-based encryption was proposed by Chu et al. [161] for wireless sensor networks. IBE reduces the computational costs of encryption and decryption.

Biometric-Based Security Solution

This is quite an innovative approach for providing security solutions in low-power wireless devices. Encryption is one of the most accepted ways of protecting information that needs encryption and a decryption key. A symmetric key can be established among different BAN or wearable devices. In the biometric-based security method, the human body endeavors to achieve a secret key by using EEG/ECG values measured by different body sensors, which are attached or embedded in different parts of that body. Since all EEG/ECG devices observe similar values, they can agree on a shared symmetric key between them [162,163,164]. This key, later on, can be used in encryption and decryption processes.

Encryption

WBAN and wearable technology can be protected with the help of different encryption mechanisms, which may provide a high level of security using symmetric, asymmetric, and identity-based encryption. Symmetric Encryption is a type of encryption in which symmetric keys are used for encryption and decryption. For simplicity, Figure 11 shows a message that is encrypted and decrypted by two parties, Alice and Bob, using an identical shared secret.
Asymmetric Encryption is a type of encryption in which two different keys are used for the encryption/decryption process. One key is used for encryption, while the other is used for decryption. This mechanism is also called Public Key Cryptography, where each party holds a pair of public/private keys. The sender encrypts a message with the public key of the receiver. The receiver upon receiving the encrypted message used its private key to decrypt it. Public keys are shared, while private keys are kept secret and are not disclosed to anybody. Figure 12 shows that each encryption and decryption key is different, i.e., Alice encrypts a message, with the public key of Bob and Bob decrypts the encrypted message with his private key.
IBE is the singleton of ABE in the sense that IBE uses a single attribute to link a secret/private key with a public parameter, e.g., email that works as an ID. In this case, the owner of the secret/private key can decode the message, whereas ABE makes use of multiple attributes. e.g., name, rollno, class, city, etc., and links these attributes with a secret/private key. The owner of the private key who matches these attributes can only decrypt the message encrypted by a sender.

2.5.4. Wireless Security Fixes

ANT/ANT+/ANT+S

ANT is a network protocol that is designed for IoTs. Like the other protocols, such as 802.11, it also operates in the 2.4 GHz frequency band. ANT+ is based on ANT and was developed by Dynastream Innovations. By default, ANT+ is an unencrypted protocol. However, it provides security with the help of RF Frequency/Channel ID and network key. Communication on a unique channel-ID or frequency prevents legal devices from receiving data from unintended devices. However, it does not stop illegal devices from malicious interception of legitimate communication. A 64-Bit network key is used to encrypt ANT+ packets, but this size does not provide adequate security. Security threats can be overcome with ANT+s optional encryption, that is, AES-128 in CTR mode. Discussing ANT+ data acquisition and processing are goals of this article but can be seen from [165].

RuBee IEEE 1902.1

RuBee is the commercial name of IEEE 1902.1, which is known as Long-Wavelength ID (LWID) [166]. RuBee provides a secure physical communication layer, flexible asset flow layer, and asset visibility. It provides secure asset flow and security while not depending upon encryption only. It has four layers that are used to implement the security of visible assets and data packets. These layers are (i) Asset Flow Layer, (ii) Physical Asset Layer, (iii) Packet Data Layer and (iv) Physical Communication Layer. Layer-i and layer-ii deal with the secure flow of visible assets, whereas layer-iii and layer-iv handle the secure flow of information. Moreover, RuBee is capable of providing a controlled physical layer security with almost no interceptions. Similarly, it is not affected by water, steel, or other harsh environmental factors. Rubee tags support the packet security layer using advanced encryption standards such as AES and Public/Private Key Cryptography [167].

Sensium

Sensium is a wireless radio protocol specially designed and optimized for vital sign monitoring. It is a robust, reliable and secure wireless patient monitoring system. It is implemented in the form of a miniature and disposable patch [168]. Sensium makes use of the public key cryptography for information security [169].

Z-Wave

An early version of Z-Wave employed S0 security, which was vulnerable to eavesdropping, message manipulation, and injection. However, a later version of security S2 was quite a lot stronger due to leveraging the strength of the Elliptic Curve Diffie–Hellman (ECDH) curve called Curve25519 and a public key length of 256 bits. S2 is also based on AES-128-CCM for authenticated encryption and AES-128-CBC for secret key derivation [170].

Insteon

Insteon provides CRC and FEC (Forward Error Correction). It provides a higher level of security with a unique addressing mechanism (unique ID code), AES encryption, and secure channel allocation. Actually, it has multiple encryption methods, such as rolling-code, managed-key and public-key [169,171].

LR-WPANs IEEE 802.15.4 Security Services

LR-WPANs stands for Low-Rate Wireless Personal Area Networks. The link layer security protocol of 802.15.4 supports four basic features, which are access control, data integrity, data privacy, and data protection from replay attack [131,172].

WBAN IEEE 802.15.6 Security

IEEE 802.15.6 is accompanied by three different security levels, which are (i) Unsecured Communication Level, (ii) Authentication Level, (iii) Authentication and Encryption Level. Level-1 provides no security, Level-2 supports only authentication, while Level-3 comes up with authentication and encryption [173,174]. Moreover, the master key is always pre-shared; temporary pairwise and group keys are generated as per the communication requirement. A detailed security analysis of IEEE 802.15.6 can be reviewed from [175].

ZigBee Security Services

Zigbee is lower power wireless technology that establishes an ultra-lower communication setup in an existing spectrum of a wireless world. Zigbee inherits the security services of 802.15.4 and adds extra features to an existing set. The extra services provided by Zigbee at the network layer are in the form of authentication and key exchange. Zigbee network nodes make use of network and link keys for communicating messages secretly. Receiving nodes always know what keys are used for securing the messages [176]. The current standards of Zigbee provide a trust center that is an application that allows the zigbee nodes and router to be configured and authenticated for joining the network [177]. Zigbee security is good, but ZiCoskun et al. [178] showed the security comparison of Zigbee, Bluetooth, and NFC; they concluded that Zigbee and Bluetooth security levels are lower than NFC.

BLE Security

BLE stands for Bluetooth Low Energy, and it uses periodic transmission for small data packets. The older versions of this protocol such as BLE 4.0, and BLE 4.1 used a simple procedure connection in which BLE devices exchange a temporary key that is used to generate a short-term secret key. This short-term key is used for the authorization of the connection. These connections are not secure but can be made secure with the help of a protected pairing process. In BLE 4.2, secure connections were introduced, which are not compatible with the legacy version. Elliptic-curve Diffie–Hellman (ECDH) is used to generate a more complex secret key, which introduces a robust process of key authentication [179]. It prevents passive eavesdropping. BLE devices can be further secured with the help of a secure pairing process [180].

Bluetooth Security Protocols

Classic Bluetooth protocol stack consists of different protocols such as Baseband, Logical Link Control and Adaptation (L2CAP) and Link Manager Protocol (LMP), Service Discovery Protocol (SDP). The establishment of a link between different Bluetooth devices and the exchange of information using packets is the responsibility of a baseband protocol. LMP protocol induces security features such as encryption, authentication, and key exchange in Bluetooth. As far as the L2CAP is concerned, it provides support for multiplexing at a higher level. This protocol also supports reassembling of packets that, in turn, support quality of service. Similarly, SDP is used to discover services that are hosted on all Bluetooth devices. Jini and UpnP are a few service discovery protocols that can be used in combination with the SDP protocol. Bluetooth operates in three modes: (i) silent: device only monitors traffic and is undiscoverable, (ii) private: device is undiscoverable and accepts connections from only known MAC-Addresses, (iii) public: device is discoverable and accepts connection from any device [181]. A careful selection of an operating mode also elevates security. In addition to these operating modes, Bluetooth supports four security modes whose functionalities are given below [146,181].
1.
Non-secure: No security.
2.
Service-level enforced security mode A non-secure ACL (Asynchronous Connection Link) can be established using this mode. Security functions run only after the L2CAP connection-oriented or connection-less channel request is placed.
3.
Link-level enforced security mode Security primitives are started before making any request for a channel is initiated and the ACL link is established.
4.
Service-level enforced security mode (SSP) This is similar to service-level enforced security mode; the only difference is that only the Bluetooth devices that use secure simple pairing (SSP) can be set in this mode.
Security comparison of Zigbee, Bluetooth, and NFC can be seen from [178], which indicated that NFC provides better security than Zigbee and Bluetooth.

802.11 Security

Since the discussion on different versions of 802.11 is beyond the scope of this study, we used 802.11 security protocols irrespective of the 802.11/a/b/g/n. The most popular security protocols that have been used to protect 802.11 networks are Wired Equivalent Privacy (WEP), WiFi Protected Access (WPA), WiFi Protected Access version 2 (WPA-2), and WiFi Protected Access version 3 (WPA-3). WPA-2 is also known as 802.11i. WEP was the original security protocol developed in the late 1990s for achieving confidentiality. Due to security flaws, in 2003, WiFi Alliance declared it superseded by WPA. In 2004, with the ratification of WPA-2, WEP was set to phase out by the same alliance. WEP used RC-4 for authentication and encryption. WPA also uses RC-4 stream cipher for encryption, but it is enhanced with the help of Temporal Key Integrity Protocol (TKIP). WPA-Extensible Authentication Protocol (WPA-EAP) is an enterprise mode that uses 802.1x for authentication. Whereas in personal mode (WPA-PSK), it makes use of pre-shared keys for security purposes. WPA-2 is more robust and reliable; it uses Advanced Encryption Standard (AES) instead of RC-4. It uses CCMP protocols for authentication [182]. CCMP stands for Counter Mode with Cipher Block Chaining Message Authentication Code Protocol. WPA-3 is considered to be the most recent and secure 802.11 security solution. In 2018, WiFi Alliance started looking for the certification of WPA-3, and by July, 2020, they inquired about devices seeking certification of WPA-3. WPA-3 provides support of security for personal and enterprise networks. WPA3-Personal provides natural password selection, ease of use and forward secrecy. WPA3-Enterprise provides a very high level of security using advanced cryptography algorithms. Authentication is achieved by using EAP; AES-CCMP 128-bit is used in encryption. For key derivation and verification, 256-bit HMAC-SHA is used. Similarly, for robust frame protection, 128-bit Broadcast/Multicast Integrity Protocol Cipher-based Message Authentication Code (BIP-CMAC-128) is used. WPA3-Enterprise with 192-bit is optional and provides more advanced level of security with the combination of a selection of security primitives [183].

3. WBAN Economical Issues

3.1. WBAN/Wearable Compound Annual Growth Rate

The global market of wireless wearable BAN devices is usually assessed with the help of CAGR, which stands for Compound Annual Growth Rate. It is defined as the annual growth rate of investment between two years, assuming the growth is increasing exponentially and one year profit is reinvested in the next year. CAGR is one of the most accurate ways of calculating returns on investment that can increase or decrease over a period of time. Equation (1) is used to calculate CAGR [184]. The purpose of explaining CAGR in this article is that most computer, material and life scientists and engineering professionals do not know the concepts of commerce.
C A G R = E V B V 1 / n 1 × 100
where EV and BV are ending and beginning values, and n is the number of years. We believe this brief explanation of CAGR can help the reader to understand it better from the perspective of global investment in wireless wearable body area networks. It is forecasted by “Transparency Market Research” that the global body area network market will touch USD 62,120.9 Million in 2025. This information was broadcasted by Cision PR Newswire who the mentioned market is expected to grow at the CAGR rate of 24.7% from 2017 to 2025 [185]. According to recently reported information by James Hayward [186], the market of wearable BANs devices was $80 Billion in 2020, which was thrice the market of 2014 in terms of annual revenue. It is predicted that the market of wearable BANs could reach USD 138 billion by 2025 [187]. According to a very recently published technical survey on wearable technology, 20% annual growth rate of this technology is expected, and its market is predicted to touch EUR 150 Billion by 2028 [5]. It can be analyzed from the shipment of wireless wearable BAN devices, which was EUR 113.2 million in 2017 and was estimated to reach EUR 223.3 million every year by 2021. One of the driving factors was COVID-19 during this period [5]. As for the global enterprise market of wireless wearables is concerned, alone it was over EUR 18 billion in 2017, which is estimated to grow at a CAGR of 11.8%, taking 2017 as the beginning and 2026 as the ending year [5,188]. Similarly, a business research organization named “360 Research Reports” published its analysis result in June 2021, which forecasts that the global market of wireless wearable body area networks, which was at USD 11950 million in the year 2021 will increase with the compound annual growth rate of 6.6% from 2021 to 2027 [189]. In addition to this, an organization named “Market Research Future” also forecasts that the market of body area network devices can rise up to USD 21 billion at a CAGR of 13% by 2025 [190,191].
Return on investment in the wearable BAN industry can also be assessed from a report recently released by a leading provider of wearable BAN devices named Gartner [192]. The report shows a continuous increasing trend in the use of wearable devices, as shown in Figure 13. The report discloses that the spending on ear-worns rose from USD 14,583 million to USD 32,724 million from 2019 to 2022, and it is predicted that it will rise from USD 39,220 million to USD 44,160 from 2021 to 2022. It is observed that consumer spending on Smartwatch increased from USD 18,501 million to USD 21,758 million during the period of 2019 to 2020, and it has a chance to rise from USD 25,827 million to USD 31,337 million from 2021 to 2022. According to this report, smartwatches and bands collectively captured 51% share of the market in 2019. In 2021, ear-worns were the leading wearable with a market share of 48%, and smartwatches and wristbands are at the second number with a collective market share of 37%. Similar trends are predicted for the year 2022 in this report.
Fortunately, we have data available about the major wearable global market players that show that Apple is the top shareholder in the market of smartwatches [193]. According to the reported data, CAGR of the wearable BAN market could be seen as 19.48% from 2019 to 2026. Figure 14 shows the share of a few other players as well.
Similarly, IDC Corporate USA reported that Apple retained the first position with about 34.9% of the wearable shipment market share from 2020 to 2021 (4rth), whereas Xiaomi, Samsung, Huawei, Imagine Marketing, and others had an 8.5%, 7.9%, 5.6%, 5.4% and 36.6% wearable market share in the fourth quarter of 2021 [194]. Wearables that were included in the survey is earwear, watches, wristbands, and others. The information from 2020 and 2021 is given in Figure 15.
Similar to a business survey on wearable major players presented in [194], Federica Laricchia [195] published a similar report but with greater coverage of wearable vendors and the time span, i.e., from 2014 to the third quarter of 2021. Year-wise average percentage shipment share of wearable devices is shown in Figure 16, but complete quarter-wise information can be obtained from [195].

3.2. WEARABLE/WBAN Regulatory for Body

It has been observed that people know less about the regulatory bodies and their guiding principles regarding medical devices. That is why we decided to include this section as a part of this study. The production, shipment, and uses of wearable BAN devices are increasing exponentially; due to this, manufacturers are required to comply with different factors or parameters of health, environment, and data protection laws, standards, and regulations. In addition to this, they are supposed to follow the different regulatory requirements of wireless connectivity, cybersecurity, product safety, chemical ingredients of the product, electromagnetic compatibility, device interoperability, one-time-use of plastic, e-waste, disposal, and many more [196]. Due to the exponential growth of wearable BAN devices across the world, their range and complexity have also increased. This growth rate triggered the evolution of more stringent and robust policies, standards, rules and regulations for wearable BAN devices. They must be obeyed by the manufacturers. However, it has been observed that the regulation of such devices significantly varies all around the world, which is very strict to none [197]. These regulations help manufacturers sell their products in multiple countries of the world that follow predefined sets of rules and regulations for wearable BAN and medical devices.
The purpose of developing standards, policies, rules and regulations is to ensure the safety of consumers because they are not capable of deciding which medical device to buy, which to use, how to use it, and how to assess the potential risks behind the use of particular device or medicine [196]. It means the BANs medical devices cannot obtain success if they do not comply with the regulations and standards set by regulatory and standardizing authorities. That is why device manufacturing companies focus on different requirements and parameters of health-related devices in light of guidelines that are provided by regulatory bodies and authorities. The generic names are given to such requirements, as shown in Figure 17. However, respective stakeholders such as manufacturers or importers can obtain information about standard requirements, guidelines, rules/regulations, and procedures, from the respective regulatory authority of that region for manufacturing, launching, promoting/marketing, and disposing-off of such wearable BAN devices. Regulatory authorities or standardizing organizations provide all sorts of technical documents that are required to be submitted to activities. Furthermore, the devices may be medical or non-medical.
It is not possible to discuss the rules and regulations of different regulatory bodies that are active in different countries of the world for regulating the manufacturing, use, and disposal of wireless wearable BAN devices. Therefore, we have decided to only provide authentic and useful links to different regulatory organizations and their guidelines, policies, standards, rules, and regulations. For instance, Canadian rules and regulations for medical devices are devised and consolidated by Medical Device Regulation (MDR). They are published by the Canadian health minister on the official law website of the Govt. of Canada [198]. This is a very recent document that was updated on 20 October 2021. It is a very useful document for the manufacturers of wearable medical BAN devices because it contains the latest guidelines concerning the regulation of such devices. Regulatory bodies are working on regulations in which a manufacturer should submit a single report that must meet the requirements of all regulatory bodies. There are different authorities who are responsible for the regulation and standardization of health-related devices (medical or non-medical), which may be wireless wearable body area network devices or they may be conventional medical equipment. Authority-wise, major multinational regulatory bodies are given in Table 9. In addition to this, country or region-wise, they are given in Table 10. There are some organizations that cover multiple countries or states, but they are placed in Table 9 considering the limitation of their application areas. This is just for the ease of a reader; otherwise, it does not matter too much whether they are placed in Table 9 or Table 10.

3.3. WEARABLE/WBAN Feasible Projects

Human life is always in the process of improvement and betterment. From this study, we have come to know that wireless wearable BAN devices are playing a vital role in this regard. However, the researchers are still working hard to design and develop more sophisticated devices for the well-being of human life. One such effort is the recent development of OvulaRing, Vitalpatch, FreeStyle Libre, and Zio XT® [74]. OvulaRing is for doctors and ladies; it can find the most suitable time of fertility. VitalPatch can measure HR (Hear Rate), RR (Respiratory Rate), and temperature. It can also detect falls and perform ECG. Similarly, FreeStyle Libre is implanted under the skin; it can monitor sugar levels. Similarly, Zio XT® can detect irregular activities of the heart.
One of the leading projects in the direction of a future wearable is H2020 A-WEAR ITN/EJD. It is a four-year project (2019–2022) whose target is to educate, train and supervise 15 researchers to face the future challenges of wearable technology. This project is funded by European Union’s Horizon 2020 (H2020) Marie Sklodowska-Curie Innovative Training Networks H2020-MSCA-ITN-2018 call https://projects.tuni.fi/a-wear/, accessed on 14 April 2022 [5].
Hospital Without Walls is another attempt made by Australia’s Commonwealth Scientific and Industrial Research Organization (CSIRO) whose target is to provide continuous vital sign monitoring information of the person to medical experts through telephone lines or using the internet. This healthcare system makes use of miniature low-power wearable radio technology to transmit health information to the home server and then to suitable medical experts using WAN technology [227].
The pace of wearable technology can be imagined from the data that are being uploaded on PatientsLikeMe72 and the evolution of self-governed healthcare community projects such as Nightscout and the Open Artificial Pancreas73, which gives a clear indication of future research and development perspectives of a wireless wearable healthcare system [228].
Selective information has been extracted from the article written by Luis et al. [229] and Rahat et al. [74] and given in Table 11. The military projects have not been added to this table as their information is already provided in Table 4.

4. Open Issues

4.1. Research Challenges

Wireless wearable body area networks encounter some interesting challenges that might be easily resolved in resource-enriched networks but difficult to resolve in low-power devices such as wearable and BANs. These issues greatly affect the efficiency, deployment and social acceptance of wireless wearable BAN devices. They are briefly discussed below to attract the attention of scholars, scientists and researchers so that they may address them while designing the security and privacy solution for wireless wearable BANs.

4.1.1. Security vs. Efficiency

For data security of wearable and WBANs, efficiency is one of the most stringent requirements. However, due to limited resources for computation, storage and data rate, it is very hard to achieve high efficiency. That is why it is recommended to make use of lightweight cryptographic functions as much as possible for data security. These functions must be low-cost in terms of processing, memory, transmission and power consumption because complex security primitives may lead to high computational load, which may also lead to early drainage of battery [5,38].

4.1.2. Security vs. Safety

It is very difficult to prioritize between security and safety, especially in emergency conditions when the patient is unconscious and cannot respond. Very strict security in terms of accessing patient data may prevent the medical staff from acquiring it well on time. Thus, it can create an adverse situation when giving medical treatment to the patient. However, at the same time, loose and flexible access control may open back doors for malicious users to illegally play with the patient’s medical information with evil intentions in mind. Therefore, it is difficult to provide good security with loose data access rights.

4.1.3. Security vs. Usability

The users of wireless wearable BAN devices may not be experts, which is why these devices must be easy to operate, configure and integrate with other interfaces such as mobiles, laptops, cloud servers, etc. In order to avoid human errors, it is required that there must be a minimum possible human interaction in data security procedures. For example, the technique of automatic device pairing can be used to establish initial secure communication between wireless wearable BAN devices. Similarly, it is well-advised to provide security services at different phases of data collection, processing, storage, and retrieval.

4.1.4. Device Interoperability

Device interoperability is one of the key factors for the social, technical, and industrial acceptance of the wireless wearable WBAN devices [5]. There might be different vendors and manufacturers of these and similar devices. However, the devices must be compatible and interoperable with one another. For example, it is appealing when someone connects a Samsung Galaxy health monitoring Watch-3 with an Apple iPhone [230]. The views of wearable and BAN users might be adverse due to the lack of device interoperability.

4.1.5. Device Authentication

In addition to the data or message authentication, device authentication in the case of wearable and BAN devices is also one of the critical issues that have attracted significant attention from security researchers. Devices claiming their legitimacy by rendering that they are honest and belong to the same wearable/BAN network need validation. Different research studies are observed in the literature regarding BAN device authentication meaning whether a claimant really hosted on the same body or not. However, this area is still in its infancy and requires more research work.

4.1.6. Secret Key Acquisition

We do not advocate the employment of public key cryptography algorithms for low-resource wearable BAN as they are resource-hungry and conflict with the limited resources of devices. We believe in unleashing new methods of secret key acquisition compared with traditional DH key exchange protocols. Different wireless information-theoretic security approaches are proposed that exploit the natural process of the physical and MAC layers for establishing the shared secret. The shared secret can be used for authentication and encryption.

4.1.7. Strict Regulations

Wireless wearable BANs have to pass through the strict regulation of the FCC and other health regulatory and standardization bodies.

4.2. Research Directions

The field of wireless wearable body area networks calls for different open research contributions to improve its usage. Key research challenges are given below.
1.
Global RF Design: The Radio Frequency of the Wireless Wearable BAN must be such that the devices can operate in any part of the world because it is observed that some wireless channels are allowed to operate in the USA but not in other parts of the world or some channels are used in one part of the world but not in other. Thus, RF design must be able to cope with heterogeneous wearable BAN devices [38].
2.
Performance: Other high-power ISM wireless devices operating in the surrounding may degrade the performance of low-power wearable and WBAN devices making them less attractive and appealing for high-quality medical and healthcare applications. For instance, Wireless Medical Telemetry Service (WMTS) frequency bands are extensively being used, but unfortunately, their use is limited to healthcare applications in the USA. Moreover, UWB is a good candidate technology for wireless wearable devices, but at the same time, it is badly affected by the interference of the co-existence of high data rate applications such as wireless multi-media.
3.
2360–2400 MHz Band: Federal Communication Commission (FCC) has opened the 2360–2400 MHz band for medical WBAN. It is believed that the band will be used to devise an artificial nervous system to reinstate sensation and mobility and regain the functionality of paralyzed limbs and organs. However, the devices based on this medical WBAN frequency band are required to test and validate against the FCC health-related rules and regulations [231]. Therefore, designing devices that exactly meet the FCC regulations is also one of the great challenges.
4.
Channel Model Design: Another research challenge is the designing of the RF channel model because it plays an important part in the designing of PHY (Physical Layer) technologies. PHY is an abbreviation of the Physical Layer of TCP/IP or OSI Model. PHY is implemented to connect the MAC layer with the physical medium; in this, it is a wireless Radio Frequency (RF). PHY consists of RF, Transceiver, DSP (Digital Signal Processor), communication protocol, and channel codes. PHY is integrated with MAC in SOC (System on a Chip) technology. Examples of wireless PHY are 3G, 4G, LTE, WiMAX, and UWB.
5.
Radio Antenna Design: Designing an antenna for wireless wearable BAN devices is also very critical due to restrictions on size, shape and choice of material [232,233]. Since the devices are wearable, patched on the body or implanted inside the body, the size of these antennae must be miniaturized. Designers do not have too many choices for the shape of antennae; it is the organ that puts restrictions on the shape. The material that can be used to design antennae should be harmless for the human body such as titanium or platinum. However, antennae made of such material result in low performance when compared with the antennae made up of copper.
6.
Physical Layer Protocols: Physical layer protocols of wearable and BAN devices must assure low power consumption without compromising reliability, connectivity, throughput and turnaround time [5,38]. Fast wake-up from sleep mode and speedy turnaround time can significantly save the power of wearable/WBAN devices. Presently, energy efficiency is being achieved through duty cycling, but researchers are endeavoring to find new ways of energy saving such as low-power listening harvesting [234].
7.
MAC Design: It is always required to have a wearable BAN MAC (Medium Access Control) layer that should be resilient to interference experienced due to the co-existence of multiple WBANs in crowded areas such as hospitals. MAC layer protocols should be adaptable to frequent topology changes. Moreover, MAC protocol of the WBAN should be able to switch to a silent channel in the case of severe interference due to the co-existence of similar networks operating in the surrounding using the same frequency band [38].

4.3. Emerging Techniques in WBAN

4.3.1. Human Body Communication (HBC)

After IoTs, a new concept is emerging in BANs called Internet of Bodies (IOBs) that makes use of conductive features of our tissues to make human body communication, but completely benefiting from IoBs is still a topic of hot discussion related to risks and challenges, such as HBC channel modeling [22].

4.3.2. Energy Harvesting

It is one of the emerging concepts in WBANs, which, in addition to working on power optimization, aims to extend the battery life by harvesting light/solar, motion, thermal or RF energy [235,236].

4.3.3. Quantum Computing

It is believed that quantum computing will solve many problems in large-scale WBAN calculations such as magnetic resonance imaging (MRI), computed tomography (CT) and nuclear medicine (e.g., positron emission tomography (PET)) [235].

4.3.4. Graph Neural Networks (GNN)

Recently, GNN has had wonderful secure applications in social networks, recommendation and knowledge systems and life sciences. In computer science, a graph is a data structure in which the two components are named vertex and edge. GNN is a neural network that operates on a graph structure to produce desired results. In wearable WBANs, they are being used for human action recognition [237,238].

4.4. Artificial Intelligence: Machine and Deep Learning

Machine learning is one of the key emerging technology for processing health data for diagnosis purposes and is playing an important role in enhancing the performance of WBANs [239,240]. Communication networks are also benefiting from technology [241].

4.4.1. Blockchain

Blockchain is a distributed database shared among the different nodes of the network. Blockchain is an innovative technology in the sense that it ensures the security of records and assurance of trust without using a third party. WBAN data can be stored and protected using blockchain [242,243]. Blockchain integration with WBANS, its trends and future opportunities can be seen from [243,244].

4.4.2. Digital Twins

It is an outstanding technology that simulates what-if scenarios for products, and processes that need to be changed and tested before deploying into the real/physical world [245]. Digital racing is one of the best examples that can be given to understand this concept. Digital twin technology is being applied in the healthcare industry for developing new methods of diagnosis and prognosis of remaining life, tear and wear and injury locations, etc. [246].

5. Conclusions and Future Work

The following are a few points that conclude our present study concisely.
1.
Wireless wearable BAN devices are one of the marvelous inventions in human history that improves the apex quality of human life.
2.
There is great investment potential in the global industry of wireless body area networks that have also been observed from the different CAGR values reported in many global market analysis reports.
3.
On the other hand, a lot of work is still required to make those devices whose manufacturing ingredients involve radio or electromagnetic waves and frequencies safe for the living body cells and tissues.
4.
Wireless body area networks consist of very low-resource devices, which is why it is demanded that communication and security protocols must be light in computation, storage, and transmission because these factors are directly linked with the lifetime of BAN nodes as they are battery powered.
While considering the resource limitations of wearable wireless BAN devices, it is highly desired to look for security measures that must be lightweight with respect to time (processing), space (memory), and messaging (bandwidth). That is why, in the future, we have planned to use some probabilistic space-efficient data structures, such as hyperloglog, count-min sketch, bloom filters, cuckoo hashing, to achieve device authentication, data confidentiality, and integrity. We believe our future research work will prove to be a groundbreaking step in the acquisition of secret keys and carrying device authentication not only in wearable WBANs but also in IOTs.

Author Contributions

Conceptualization, D.S.B. and A.I.; methodology, D.S.B. and H.K.; validation, S.S; formal analysis, Z.I.; resources, K.-I.K.; data curation, A.A., H.K.; writing—original draft preparation, D.S.B.; writing—review and editing, A.I.; visualization, K.-I.K.; supervision, A.A.; project administration, S.S. and K.-I.K.; funding acquisition, K.-I.K. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

This research was supported by the Institute for Information and Communications Technology Planning and Evaluation (IITP) grant funded by the Korean government (Ministry of Science and ICT, South Korea) (No. 2022-0-01200, Training Key Talents in Industrial Convergence Security).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Xiao, Y.; Pan, Y. Emerging Wireless LANs, Wireless PANs, and Wireless MANs: IEEE 802.11, IEEE 802.15, 802.16 Wireless Standard Family; Wiley: Hoboken, NJ, USA, 2009. [Google Scholar]
  2. AlShourbaji, I. An Overview of Wireless Local Area Network (WLAN). arXiv 2013, arXiv:1303.1882. [Google Scholar]
  3. Catherwood, P.A.; Steele, D.; Little, M.; Mccomb, S.; Mclaughlin, J. A Community-Based IOT Personalized Wireless Healthcare Solution Trial. IEEE J. Transl. Eng. Health Med. 2018, 6, 372–380. [Google Scholar] [CrossRef]
  4. Tufail, F.; Islam, M.H. Wearable Wireless Body Area Networks. In Proceedings of the 2009 International Conference on Information Management and Engineering, Kuala Lumpur, Malaysia, 3–5 April 2009; pp. 656–660. [Google Scholar] [CrossRef]
  5. Ometov, A.; Shubina, V.; Klus, L.; Skibińska, J.; Saafi, S.; Pascacio, P.; Flueratoru, L.; Gaibor, D.Q.; Chukhno, N.; Chukhno, O.; et al. A Survey on Wearable Technology: History, State-of-the-Art and Current Challenges. Comput. Netw. 2021, 193, 108074. [Google Scholar] [CrossRef]
  6. Latré, B.; Braem, B.; Moerman, I.; Blondia, C.; Demeester, P. A Survey on Wireless Body Area Networks. Wirel. Netw. 2011, 17, 1–18. [Google Scholar] [CrossRef]
  7. Ullah, S.; Higgins, H.; Braem, B.; Latre, B.; Blondia, C.; Moerman, I.; Saleem, S.; Rahman, Z.; Kwak, K.S. A Comprehensive Survey of Wireless Body Area Networks. J. Med. Syst. 2012, 36, 1065–1094. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  8. Revadigar, G.; Javali, C.; Asghar, H.J.; Rasmussen, K.B.; Jha, S. Mobility Independent Secret Key Generation for Wearable Health-care Devices. In Proceedings of the 10th EAI International Conference on Body Area Networks, Oulu, Finland, 2–3 October 2018; ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering): Brussels, Belgium, 2015. BodyNets ’15. pp. 294–300. [Google Scholar] [CrossRef] [Green Version]
  9. Revadigar, G.; Javali, C.; Asghar, H.J.; Rasmussen, K.B.; Jha, S. Secret Key Generation for Body-worn Devices by Inducing Artificial Randomness in the Channel. Tech. Rep. 2015. [Google Scholar]
  10. Al-Eidan, R.M.; Al-Khalifa, H.; Al-Salman, A.M. A Review of Wrist-Worn Wearable: Sensors, Models, and Challenges. J. Sens. 2018, 2018, 1–20. [Google Scholar] [CrossRef] [Green Version]
  11. Kwak, K.S.; Ameen, M.A.; Kwak, D.; Lee, C.; Lee, H. A study on proposed IEEE 802.15 WBAN MAC protocols. In Proceedings of the 2009 9th International Symposium on Communications and Information Technology, Icheon, Korea, 28–30 September 2009; pp. 834–840. [Google Scholar] [CrossRef]
  12. is Promo, J. Samsung Health In-depth Tutorial (Previously S Health). 2019. Available online: https://www.youtube.com/watch?v=0UQ6xz0_wPA (accessed on 28 October 2021).
  13. Miller, K. Got a Cold? Your Smartwatch Can Detect It before You Do. 2021. Available online: https://www.verywellhealth.com/wearable-health-technology-detect-illness-5204814 (accessed on 26 January 2022).
  14. Lambert, V. Empowering Patients to Track Their Health through Wearable Tech. Ph.D. Dissertation. 2016. Available online: https://www.raconteur.net/empowering-patients-to-track-their-health-through-wearable-tech/ (accessed on 17 November 2021).
  15. Research; Markets. Global Wearables Market Anticipated to Reach US $116.88 Billion by 2025, Growing at a CAGR of 17% between 2021 and 2025. 2021. Available online: https://www.businesswire.com/news/home/20210930005681/en/Global-Wearables-Market-Anticipated-to-Reach-US116.88-Billion-by-2025-Growing-at-a-CAGR-of-17-Between-2021-and-2025—ResearchAndMarkets.com (accessed on 18 November 2021).
  16. Siddiqi, M. Securing the Provenance of Wearable Healthcare Sensing Data. Ph.D. Dissertation, University of New South Wales, Sydney, Australia, 2019. [Google Scholar]
  17. Vijayan, V.; Connolly, J.P.; Condell, J.; McKelvey, N.; Gardiner, P. Review of Wearable Devices and Data Collection Considerations for Connected Health. Sensors 2021, 21, 5589. [Google Scholar] [CrossRef]
  18. Hajar, M.S.; Al-Kadri, M.O.; Kalutarage, H.K. A survey on wireless body area networks: Architecture, security challenges and research opportunities. Comput. Secur. 2021, 104, 102211. [Google Scholar] [CrossRef]
  19. Kim, B.S.; Shah, B.; He, T.; Kim, K.I. A survey on analytical models for dynamic resource management in wireless body area networks. Ad Hoc Netw. 2022, 135, 102936. [Google Scholar] [CrossRef]
  20. Kim, B.S.; Shah, B.; Kim, K.I. Resource Allocation in Wireless Body Area Networks: A Smart City Perspective. In Emerging Trends in Wireless Sensor Networks; IntechOpen: London, UK, 2022. [Google Scholar] [CrossRef]
  21. Bouani, A.; Maissa, Y.; Rachid, S.; Hammouch, A.; Tamtaoui, A. A Comprehensive Survey of Medium Access Control Protocols for Wireless Body Area Networks. Wirel. Commun. Mob. Comput. 2021, 2021. [Google Scholar] [CrossRef]
  22. Celik, A.; Salama, K.N.; Eltawil, A.M. The Internet of Bodies: A Systematic Survey on Propagation Characterization and Channel Modeling. IEEE Internet Things J. 2022, 9, 321–345. [Google Scholar] [CrossRef]
  23. Zhong, L.; He, S.; Lin, J.; Wu, J.; Li, X.; Pang, Y.; Li, Z. Technological Requirements and Challenges in Wireless Body Area Networks for Health Monitoring: A Comprehensive Survey. Sensors 2022, 22, 3539. [Google Scholar] [CrossRef]
  24. Dias, D.; Cunha, J.P. Wearable Health Devices? Vital Sign Monitoring, Systems and Technologies. Sensors 2018, 18, 2414. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Pramanik, P.K.D.; Nayyar, A.; Pareek, G. Chapter 7—WBAN: Driving e-healthcare Beyond Telemedicine to Remote Health Monitoring: Architecture and Protocols. In Telemedicine Technologies; Jude, H.D., Balas, V.E., Eds.; Academic Press: Cambridge, MA, USA, 2019; pp. 89–119. [Google Scholar] [CrossRef]
  26. Singh, R.; Gaonkar, M.V.; Sharma, S.; Grover, P.; Khatri, A. Introduction To Body Sensor Networks. In Proceedings of the 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon), Faridabad, India, 14–16 February 2019; pp. 437–440. [Google Scholar] [CrossRef]
  27. Patel, B.C.; Sinha, G.R.; Goel, N. Introduction to sensors. In Advances in Modern Sensors; IOP Publishing: Philadelphia, PA, USA, 2020; pp. 1–21. [Google Scholar] [CrossRef]
  28. Gambhir, S.; Kathuria, M. DWBAN: Dynamic priority based WBAN architecture for healthcare system. In Proceedings of the 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom), New Delhi, India, 16–18 March 2016; pp. 3380–3386. [Google Scholar]
  29. Karthikeyan, S.; Gopal, Y.; Kumar, V. Design and Analysis of Wearable Antenna for Wireless Body Area Network. IOP Conf. Ser. Mater. Sci. Eng. 2019, 590, 012022. [Google Scholar] [CrossRef]
  30. Yazdandoost, K.Y.; Kohno, R. UWB antenna for wireless body area network. In Proceedings of the 2006 Asia-Pacific Microwave Conference, November 2006; pp. 1647–1652. [Google Scholar] [CrossRef]
  31. Zhang, K.; Soh, P.J.; Yan, S. Meta-Wearable Antennas—A Review of Metamaterial Based Antennas in Wireless Body Area Networks. Materials 2021, 14, 149. [Google Scholar] [CrossRef]
  32. Sudha, M.; Benitta, S. Design of antenna in Wireless Body Area Network (WBAN) for biotelemetry applications. Intell. Decis. Technol. 2016, 10, 1–7. [Google Scholar] [CrossRef]
  33. Van, D.D.; Ai, Q.; Liu, Q. Vertical Handover Algorithm for WBANs in Ubiquitous Healthcare with Quality of Service Guarantees. Information 2017, 8, 34. [Google Scholar] [CrossRef] [Green Version]
  34. Elhadj, H.; Elias, J.; Fourati, L.; Kamoun, L. Multi Attribute Decision Making Handover Algorithm for Wireless Body Area Networks. Comput. Commun. 2016, 81. [Google Scholar] [CrossRef]
  35. Park, J.T.; Nah, J.W.; Kim, S.W.; Chun, S.M.; Wang, S.; Seo, S.H. Context-Aware Handover with Power Efficiency for u-Healthcare Service in WLAN. In Proceedings of the 2009 International Conference on New Trends in Information and Service Science, Beijing, China, 30 June–2 July 2009; pp. 1279–1283. [Google Scholar] [CrossRef]
  36. Dahal, S.; Shin, S. A Review on Vertical Handover Schemes to Integrate WBAN with Other Heterogeneous Networks. Korean Inst. Next Gener. Comput. 2015, 11, 29–40. [Google Scholar]
  37. Lav Gupta, R.J. Security in Low Energy Body Area Networks for Healthcare. A Paper Written under the Guidance of Prof. Raj Jain. Washington University of St. Louis. 2014. Available online: https://www.cse.wustl.edu/~jain/cse571-14/ftp/ban.pdf (accessed on 4 March 2022).
  38. Salayma, M.; Al-Dubai, A.; Romdhani, I.; Nasser, Y. Wireless Body Area Network (WBAN): A Survey on Reliability, Fault Tolerance, and Technologies Coexistence. ACM Comput. Surv. 2017, 50, 3041956. [Google Scholar] [CrossRef] [Green Version]
  39. Kiourti, A.; Nikita, K.S. A Review of In-Body Biotelemetry Devices: Implantables, Ingestibles, and Injectables. IEEE Trans. Biomed. Eng. 2017, 64, 1422–1430. [Google Scholar] [CrossRef]
  40. Ullah, S.; Higgin, H.; Siddiqui, M.A.; Kwak, K.S. A Study of Implanted and Wearable Body Sensor Networks. In Agent and Multi-Agent Systems: Technologies and Applications; Nguyen, N.T., Jo, G.S., Howlett, R.J., Jain, L.C., Eds.; Springer: Berlin/Heidelberg, Germany, 2008; pp. 464–473. [Google Scholar]
  41. Khan, P.; Hussain, A.; Kwak, K. Medical Applications of Wireless Body Area Networks. JDCTA 2009, 3, 185–193. [Google Scholar] [CrossRef] [Green Version]
  42. Darwish, A.; Hassanien, A.E. Wearable and implantable wireless sensor network solutions for healthcare monitoring. Sensors 2011, 11, 5561–5595. [Google Scholar] [CrossRef] [PubMed]
  43. Machiele, R.; Motlagh, M.; Patel, B.C. Intraocular Pressure. In StatPearls; StatPearls Publishing: Treasure Island, FL, USA, 2021. [Google Scholar]
  44. Tran, L.G.; Cha, H.K.; Park, W.T. RF power harvesting: A review on designing methodologies and applications. Micro Nano Syst. Lett. 2017, 5, 14. [Google Scholar] [CrossRef] [Green Version]
  45. Xiang, W.; Xie, Y.; Han, Y.; Long, Z.; Zhang, W.; Zhong, T.; Liang, S.; Xing, L.; Xue, X.; Zhan, Y. A self-powered wearable brain–machine-interface system for ceasing action. Nanoscale 2022, 14, 4671–4678. [Google Scholar] [CrossRef]
  46. Johnston, L.; Wang, G.; Hu, K.; Qian, C.; Liu, G. Advances in Biosensors for Continuous Glucose Monitoring Towards Wearables. Front. Bioeng. Biotechnol. 2021, 9, 733810. [Google Scholar] [CrossRef]
  47. Sanchez, P.; Ghosh-Dastidar, S.; Tweden, K.S.; Kaufman, F.R. Real-World Data from the First U.S. Commercial Users of an Implantable Continuous Glucose Sensor. Diabetes Technol. Ther. 2019, 21, 677–681. [Google Scholar] [CrossRef]
  48. Renard. Implantable glucose sensors for diabetes monitoring. Minim. Invasive Ther. Allied. Technol. 2004, 13, 78–86. [Google Scholar] [CrossRef]
  49. Veeramuthu, L.; Cho, C.J.; Venkatesan, M.; Kumar, G.R.; Hsu, H.Y.; Zhuo, B.X.; Kau, L.J.; Chung, M.A.; Lee, W.Y.; Kuo, C.C. Muscle fibers inspired electrospun nanostructures reinforced conductive fibers for smart wearable optoelectronics and energy generators. Nano Energy 2022, 101, 107592. [Google Scholar] [CrossRef]
  50. New Orleans Profusa Inc. Injectable Body Sensors Take Personal Chemistry to a Cell Phone Closer to Reality. Tech Report. 2018. Available online: https://profusa.com/injectable-body-sensors-take-personal-chemistry-to-a-cell-phone-closer-to-reality/ (accessed on 28 March 2022).
  51. Somers, R.C.; Lanning, R.M.; Snee, P.T.; Greytak, A.B.; Jain, R.K.; Bawendi, M.G.; Nocera, D.G. A nanocrystal-based ratiometric pH sensor for natural pH ranges. Chem. Sci. 2012, 3, 2980–2985. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  52. Bai, W.; Kuang, T.; Chitrakar, C.; Yang, R.; Li, S.; Zhu, D.; Chang, L. Patchable micro/nanodevices interacting with skin. Biosens. Bioelectron. 2018, 122, 189–204. [Google Scholar] [CrossRef] [PubMed]
  53. Shetti, N.P.; Mishra, A.; Basu, S.; Mascarenhas, R.J.; Kakarla, R.R.; Aminabhavi, T.M. Skin-Patchable Electrodes for Biosensor Applications: A Review. ACS Biomater. Sci. Eng. 2020, 6, 1823–1835. [Google Scholar] [CrossRef] [PubMed]
  54. Manasa, G.; Mascarenhas, R.J.; Shetti, N.P.; Malode, S.J.; Mishra, A.; Basu, S.; Aminabhavi, T.M. Skin Patchable Sensor Surveillance for Continuous Glucose Monitoring. ACS Appl. Bio. Mater. 2022, 5, 945–970. [Google Scholar] [CrossRef]
  55. Baek, D.; Lee, H.G.; Chang, N. SmartPatch: A Self-Powered and Patchable Cumulative UV Irradiance Meter. IEEE Des. Test 2019, 36, 57–64. [Google Scholar] [CrossRef]
  56. Wang, X.; Zhou, X.; Liu, Z.; Fan, X. A Survey on Patchable Sensors. In Proceedings of the 2020 IEEE 4th International Conference on Frontiers of Sensors Technologies (ICFST), Shanghai, China, 6–9 November 2020; pp. 39–43. [Google Scholar] [CrossRef]
  57. Joshi, M.; Archer, S.; Morbi, A.; Arora, S.; Kwasnicki, R.; Ashrafian, H.; Khan, S.; Cooke, G.; Darzi, A. Short-Term Wearable Sensors for In-Hospital Medical and Surgical Patients: Mixed Methods Analysis of Patient Perspectives. JMIR Perioper Med. 2021, 4, e18836. [Google Scholar] [CrossRef]
  58. Hartel, M.C.; Lee, D.; Weiss, P.S.; Wang, J.; Kim, J. Resettable sweat-powered wearable electrochromic biosensor. Biosens. Bioelectron. 2022, 215, 114565. [Google Scholar] [CrossRef]
  59. Taleb, H.; Nasser, A.; Andrieux, G.; Charara, N.; Motta Cruz, E. Wireless technologies, medical applications and future challenges in WBAN: A survey. Wirel. Netw. 2021, 27, 5271–5295. [Google Scholar] [CrossRef]
  60. WHO. Pulse Oximetry Training Manual. WHO Library Cataloguing-in-Publication Data. 2011. Available online: https://www.who.int/patientsafety/safesurgery/pulse_oximetry/who_ps_pulse_oxymetry_training_manual_en.pdf (accessed on 8 November 2021).
  61. WHO. Using Pulse Oximeters. 2011. Available online: https://www.who.int/patientsafety/safesurgery/pulse_oximetry/who_ps_pulse_oxymetry_tutorial1_the_basics_en.pdf (accessed on 8 November 2021).
  62. Chan, E.D.; Chan, M.M.; Chan, M.M. Pulse oximetry: Understanding its basic principles facilitates appreciation of its limitations. Respir. Med. 2013, 107, 789–799. [Google Scholar] [CrossRef] [Green Version]
  63. Wellue. Wellue® O2TM Ring Continuous Ring Oxygen Monitor. Available online: https://getwellue.com/products/o2ring-wearable-pulse-oximeter (accessed on 26 January 2022).
  64. Zhou, Z.; Chen, N.; Zhong, H.; Zhang, W.; Zhang, Y.; Yin, X.; He, B. Textile-Based Mechanical Sensors: A Review. Materials 2021, 14, 6074. [Google Scholar] [CrossRef]
  65. Gulzar, U.; De angelis, F.; Zaccaria, R.; Capiglia, C. Recent Advances in Textile Based Energy Storage Devices. World J. Eng. Technol. 2016, 2, 6–15. [Google Scholar]
  66. Shak Sadi, M.; Kumpikaitė, E. Advances in the Robustness of Wearable Electronic Textiles: Strategies, Stability, Washability and Perspective. Nanomaterials 2022, 12, 2039. [Google Scholar] [CrossRef] [PubMed]
  67. Kota, A.; Gogia, A.; Neidhard-Doll, A.T.; Chodavarapu, V.P. Printed Textile-Based Ag2O–Zn Battery for Body Conformal Wearable Sensors. Sensors 2021, 21, 2178. [Google Scholar] [CrossRef]
  68. Mohanty, S.P. Biosensors: A Survey Report. 2001. Available online: https://www.researchgate.net/publication/2531450_Biosensors_A_Survey_Report (accessed on 8 November 2021).
  69. Naresh, V.; Lee, N. A Review on Biosensors and Recent Development of Nanostructured Materials-Enabled Biosensors. Sensors 2021, 21, 1109. [Google Scholar] [CrossRef] [PubMed]
  70. Hayajneh, T.; Almashaqbeh, G.; Ullah, S.; Vasilakos, A.V. A Survey of Wireless Technologies Coexistence in WBAN: Analysis and Open Research Issues. Wirel. Netw. 2014, 20, 2165–2199. [Google Scholar] [CrossRef]
  71. Fan Wu, T.W.; Yuce, M.R. An Internet-of-Things (IOT) Network System for Connected Safety and Health Monitoring Applications. Sensors 2019, 19, 21. [Google Scholar]
  72. Seneviratne, S.; Hu, Y.; Nguyen, T.; Lan, G.; Khalifa, S.; Thilakarathna, K.; Hassan, M.; Seneviratne, A. A Survey of Wearable Devices and Challenges. IEEE Commun. Surv. Tutor. 2017, 19, 2573–2620. [Google Scholar] [CrossRef]
  73. Sarangi, M.; Debabrata Singh, M.K. A Challenging Solution for Man-in-Middle Security Issues through Near Field Communication (NFC). Int. J. Eng. Adv. Technol. (IJEAT) 2019, 8, 963–983. [Google Scholar]
  74. Khan, R.A.; Pathan, A.S.K. The state-of-the-art wireless body area sensor networks: A survey. Int. J. Distrib. Sens. Netw. 2018, 14, 1550147718768994. [Google Scholar] [CrossRef] [Green Version]
  75. Wong, A.W.; McDonagh, D.; Omeni, O.; Nunn, C.; Hernandez-Silveira, M.; Burdett, A.J. Sensium: An ultra-low-power wireless body sensor network platform: Design & application challenges. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. 2009, 2009, 6576–6579. [Google Scholar]
  76. Kołodziej, J.; Gonzalez-Velez, H.; Karatza, H. High-performance modelling and simulation for big data applications. Simul. Model. Pract. Theory 2017, 76. [Google Scholar] [CrossRef] [Green Version]
  77. Victor, C.M.L.; Huasong Cao, C.C.H.C. Enabling Technologies for Wireless Body Area Networks: A Survey and Outlook. IEEE Commun. Mag. 2009, 47, 84–93. [Google Scholar] [CrossRef]
  78. Arefin, M.T.; Ali, M.H.; Haque, A.K.M.F. Wireless Body Area Network: An Overview and Various Applications. J. Comput. Commun. 2017, 5, 53–64. [Google Scholar] [CrossRef] [Green Version]
  79. Negra, R.; Jemili, I.; Belghith, A. Wireless body area networks: Applications and technologies. Procedia Comput. Sci. 2016, 83, 1274–1281. [Google Scholar] [CrossRef] [Green Version]
  80. Dementyev, A.; Hodges, S.; Taylor, S.; Smith, J. Power consumption analysis of Bluetooth Low Energy, ZigBee and ANT sensor nodes in a cyclic sleep scenario. In Proceedings of the 2013 IEEE International Wireless Symposium (IWS), Beijing, China, 14–18 April 2013; pp. 1–4. [Google Scholar] [CrossRef]
  81. Kshetrimayum, R.S. An introduction to UWB communication systems. IEEE Potentials 2009, 28, 9–13. [Google Scholar] [CrossRef]
  82. Batra, A.; Balakrishnan, J.; Dabak, A. Multi-band OFDM: A new approach for UWB. In Proceedings of the 2004 IEEE International Symposium on Circuits and Systems, Vancouver, BC, Canada, 23–26 May 2004. [Google Scholar] [CrossRef]
  83. Fernandes, J.R.; Wentzloff, D. Recent advances in IR-UWB transceivers: An overview. In Proceedings of the 2010 IEEE International Symposium on Circuits and Systems, Paris, France, 30 May–2 June 2010; pp. 3284–3287. [Google Scholar] [CrossRef]
  84. Sundaram, J.P.S.; Du, W.; Zhao, Z. A Survey on LoRa Networking: Research Problems, Current Solutions and Open Issues. arXiv 2019, arXiv:1908.10195. [Google Scholar] [CrossRef] [Green Version]
  85. You, I.; Kwon, S.; Choudhary, G.; Sharma, V.; Seo, J. An Enhanced LoRaWAN Security Protocol for Privacy Preservation in IOT with a Case Study on a Smart Factory-Enabled Parking System. Sensors 2018, 18, 1888. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  86. Movassaghi, S.; Ara, P.; Abolhasan, M. Wireless technologies for Body Area Networks: Characteristics and challenges. In Proceedings of the 2012 International Symposium on Communications and Information Technologies (ISCIT), Gold Coast, QLD, Australia, 2–5 October 2012. [Google Scholar] [CrossRef]
  87. Sun, H.; Zhang, Z.; Hu, R.Q.; Qian, Y. Wearable Communications in 5G: Challenges and Enabling Technologies. IEEE Veh. Technol. Mag. 2018, 13, 100–109. [Google Scholar] [CrossRef]
  88. Lin, J.; Shen, Z.; Miao, C. Using Blockchain Technology to Build Trust in Sharing LoRaWAN IoT. In Proceedings of the 2nd International Conference on Crowd Science and Engineering, Beijing, China, 6–9 July 2017; pp. 38–43. [Google Scholar] [CrossRef]
  89. Tavera, C.A.; Ortiz, J.H.; Khalaf, O.I.; Saavedra, D.F.; Aldhyani, T.H.H. Wearable Wireless Body Area Networks for Medical Applications. Comput. Math. Methods Med. 2021, 2021, 5574376. [Google Scholar] [CrossRef]
  90. Cavallari, R.; Martelli, F.; Rosini, R.; Buratti, C.; Verdone, R. A Survey on Wireless Body Area Networks: Technologies and Design Challenges. IEEE Commun. Surv. Tutor. 2014, 16, 1635–1657. [Google Scholar] [CrossRef]
  91. Meharouech, A.; Elias, J.; Mehaoua, A. Moving Towards Body-to-Body Sensor Networks for Ubiquitous Applications: A Survey. J. Sens. Actuator Netw. 2019, 8, 27. [Google Scholar] [CrossRef] [Green Version]
  92. Alam, M.M.; Hamida, E.B. Review Surveying Wearable Human Assistive Technology for Life and Safety Critical Applications: Standards, Challenges and Opportunities. Sensors 2014, 14, 9153–9209. [Google Scholar] [CrossRef] [PubMed]
  93. Christensen, B. Army Wrist Display Uses 4.3 Inch OLED, US Department of Defence. 2010. Available online: http://www.technovelgy.com/ct/Science-Fiction-News.asp?NewsNum=3052 (accessed on 28 October 2021).
  94. Shi, H.; Zhao, H.; Liu, Y.; Gao, W.; Dou, S.C. Systematic Analysis of a Military Wearable Device Based on a Multi-Level Fusion Framework: Research Directions. Sensors 2019, 19, 2651. [Google Scholar] [CrossRef] [Green Version]
  95. Liu, W.; Long, Z.; Yang, G.; Xing, L. A Self-Powered Wearable Motion Sensor for Monitoring Volleyball Skill and Building Big Sports Data. Biosensors 2022, 12, 60. [Google Scholar] [CrossRef] [PubMed]
  96. Chatterjee, A.; Aceves, A.; Dungca, R.; Flores, H.; Giddens, K. Classification of wearable computing: A survey of electronic assistive technology and future design. In Proceedings of the 2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN), Kolkata, India, 23–25 September 2016; pp. 22–27. [Google Scholar]
  97. Iqbal, M.H.; Aydin, A.; Brunckhorst, O.; Dasgupta, P.; Ahmed, K. A review of wearable technology in medicine. J. R. Soc. Med. 2016, 109, 372–380. [Google Scholar] [CrossRef]
  98. Sotera Wireless, Inc. Continuous Monitoring of Key Bodily Functions Improves Patient Safety 32% Fewer Unplanned ICU Admissions Thanks to Wrist Monitor. 2022. Available online: https://www.soterawireless.com/news/continuous-monitoring-of-key-bodily-functions-improves-patient-safety-32-fewer-unplanned-icu-admissions-thanks-to-wrist-monitor (accessed on 25 April 2022).
  99. Phillips, BioTel Heart. Mobile Cardiac Telemetry: Beat-by-Beat Analysis and Automatic Event Detection, with Wireless Transmission. Available online: https://www.myheartmonitor.com/ (accessed on 20 January 2019).
  100. Medic, G.; Kotsopoulos, N.; Connolly, M.P.; Lavelle, J.; Norlock, V.; Wadhwa, M.; Mohr, B.A.; Derkac, W.M. Mobile Cardiac Outpatient Telemetry Patch vs Implantable Loop Recorder in Cryptogenic Stroke Patients in the US—Cost-Minimization Model. Med. Devices (Auckl) 2021, 14, 445–458. [Google Scholar] [CrossRef] [PubMed]
  101. Ambio Health, Inc. Starter Kit Single Devices. Available online: https://ambiohealth.com/products (accessed on 20 January 2019).
  102. INC, A.G. Providing Caregivers Better Patient Assessment. Available online: https://athenagtx.com/products/ (accessed on 20 January 2019).
  103. Caretaker. Healthcare Benefits: Caretaker Helps Modernize Healthcare. Available online: https://www.caretakermedical.net/ (accessed on 20 January 2019).
  104. Scientific, C. Wireless Vital Signs Monitoring. 2017. Available online: https://cadi.com.sg/2016/11/12/wireless-vital-signs-monitoring/ (accessed on 20 January 2019).
  105. Connect, V. Vital Patch RTM. Available online: https://vitalconnect.com (accessed on 20 January 2019).
  106. Westenberg, J. Fitbit Premium Review: Is It Worth It? 2022. Available online: https://www.androidauthority.com/fitbit-premium-review-1097663/ (accessed on 10 February 2022).
  107. Garmin. Fitness at Your Fingertips. Available online: https://connect.garmin.com/#:~:text=On%20mobile%20or%20web%2C%20Garmin,activities%20from%20your%20Garmin%20device. (accessed on 10 November 2021).
  108. SamSung. Enhance Your Life with Samsung Health. Available online: https://www.samsung.com/global/galaxy/apps/samsung-health/ (accessed on 28 October 2021).
  109. Apple. Apple Health Kit. Available online: https://developer.apple.com/documentation/healthkit (accessed on 28 November 2021).
  110. Radiofrequency Wireless ICD, Heart Failure Devices FDA Approved. 2014. Available online: https://www.dicardiology.com/product/radiofrequency-wireless-icd-heart-failure-devices-fda-approved-0 (accessed on 10 November 2021).
  111. Katwal, A.B.; McCotter, C.J. Use of a Wireless Implantable Cardioverter Defibrillator in a Patient with a Preexisting Neurostimulator. Pacing Clin. Electrophysiol. 2009, 32, 822–824. [Google Scholar] [CrossRef] [PubMed]
  112. Burri, H.; Senouf, D. Remote Monitoring and Follow-Up of Pacemakers and Implantable Cardioverter Defibrillators. EP Eur. 2009, 11, 701–709. [Google Scholar] [CrossRef]
  113. Scientific, B. Boston Scientific Electromagnetic (EMI) Compatibility Table for Pacemakers, Transvenous ICDs, S-ICDs and Heart Failure Devices. Tech Guide. 2017. Available online: https://www.bostonscientific.com/content/dam/lifebeat-online/en/documents/BSC_Electromagnetic_Compatibility_Guide.pdf (accessed on 14 April 2022).
  114. BIOTRONIK. Electromagnetic Compatibility of BIOTRONIK Cardiac Pacemakers, ICDs and CRT Devices. 2017. Available online: https://biotronik.cdn.mediamid.com/cdn_bio_doc/bio23016/8207/bio23016.pdf (accessed on 10 November 2021).
  115. Medtronic. Implantable Cardioverter Defibrillator (ICD) Devices for Tachycardia. Available online: https://europe.medtronic.com/xd-en/healthcare-professionals/products/cardiac-rhythm/icd-systems.html (accessed on 10 November 2021).
  116. Merlin.net. Merlin.netTM Patient Care Network (PCN) Version 5.0. Available online: http://www.cardion.cz/file/253/merlin.net-specsheet.pdf (accessed on 10 November 2021).
  117. Alforidi, A.; Aslam, D. Fabric-Embedded EEG/ECG/EMG Micro-Systems Monitoring Smart-Horne-Occupants’ Health/Disease by Smartphones. In Proceedings of the 2018 IEEE International Conference on Electro/Information Technology (EIT), Rochester, MI, USA, 3–5 May 2018; pp. 856–859. [Google Scholar] [CrossRef]
  118. BIOPAC Systems Inc. Mobita Wearable Biopotentials: 32CH EEG, ECG, EMG, EOG, EGG. Tech Report. Available online: https://www.biopac.com/product-category/research/mobita-wearable-biopotentials/ (accessed on 11 November 2021).
  119. Corporation, B. Bittium Faros™—Waterproof ECG Devices for Cardiac Monitoring. Available online: https://www.bittium.com/medical/bittium-faros?gclid=Cj0KCQiA-K2MBhC-ARIsAMtLKRuf1Hh9PZTYtSt05rN_5Suh_igew7qEAIIHOjcSjv22GaVR4eY_m44aAlaREALw_wcB (accessed on 11 November 2021).
  120. Technology, L.M. Types of ECG. Available online: https://en.lepumedical.com/products/ecg/ (accessed on 11 November 2021).
  121. Systems, T. Stellar Telemetry-Wireless Monitoring. Available online: https://www.tse-systems.com/product-details/stellar-telemetry/ (accessed on 11 November 2021).
  122. Gubbi, J.; Buyya, R.; Marusic, S.; Palaniswami, M. Internet of Things (IoT): A vision, architectural elements, and future directions. Future Gener. Comput. Syst. 2013, 29, 1645–1660. [Google Scholar] [CrossRef] [Green Version]
  123. Sakovich, N. Wearable Technology in Healthcare: How Devices Will Influence Our Health. 2018. Available online: https://www.sam-solutions.com/blog/wearable-technology-in-healthcare-how-devices-will-influence-our-health/ (accessed on 3 October 2018).
  124. Garmin. Wearables Activity Tracking. Available online: https://www.garmin.com.my/products/wearables/?cat=activity_tracking. (accessed on 10 January 2019).
  125. Rushambwa, M.C.; Gezimati, M.; Jeeva, J.B. Development of a wearable wireless body area network for health monitoring of the elderly and disabled. IOP Conf. Ser. Mater. Sci. Eng. 2017, 263, 052052. [Google Scholar] [CrossRef]
  126. Sikaris, K.A. Physiology and its importance for reference intervals. Clin. Biochem. Rev. 2014, 35, 3–14. [Google Scholar]
  127. Greger, R.; Bleich, M. Normal Values for Physiological Parameters. In Comprehensive Human Physiology: From Cellular Mechanisms to Integration; Greger, R., Windhorst, U., Eds.; Springer: Berlin/Heidelberg, Germany, 1996; pp. 2427–2449. [Google Scholar] [CrossRef]
  128. Zou, S.; Xu, Y.; Wang, H.; Li, Z.; Chen, S.; Hu, B. A Survey on Secure Wireless Body Area Networks. Secur. Commun. Netw. 2017, 2017, 3721234. [Google Scholar] [CrossRef] [Green Version]
  129. Ananthi, J.; Jose, P. A Perspective Review of Security Challenges in Body Area Networks for Healthcare Applications. Int. J. Wirel. Inf. Netw. 2021, 28, 1–16. [Google Scholar] [CrossRef] [PubMed]
  130. Asam, M.; Jamal, T.; Ajaz, A.; Haider, Z.; Butt, S.A. Security Issues in WBANs. arXiv 2019, arXiv:1911.04330. [Google Scholar]
  131. Saleem, S.; Ullah, S.; Kwak, K.S. A study of IEEE 802.15.4 security framework for wireless body area networks. Sensors 2011, 11, 1383–1395. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  132. Al-Janabi, S.; Al-Shourbaji, I.; Shojafar, M.; Shamshirband, S. Survey of main challenges (security and privacy) in wireless body area networks for healthcare applications. Egypt. Inform. J. 2017, 18, 113–122. [Google Scholar] [CrossRef] [Green Version]
  133. Bengag, A.; Bengag, A.; Moussaoui, O. Attacks Classification and a Novel IDS for Detecting Jamming Attack in WBAN. Adv. Sci. Technol. Eng. Syst. J. 2020, 5, 80–86. [Google Scholar] [CrossRef] [Green Version]
  134. Saifuzzaman, M.; Ananna, T.N.; Chowdhury, M.J.M.; Ferdous, M.S.; Chowdhury, F. A Systematic Literature Review on Wearable Health Data Publishing under Differential Privacy. Int. J. Inf. Secur. 2022, 21, 847–872. [Google Scholar] [CrossRef]
  135. Ullah, F.; Zahid Khan, M.; Faisal, M.; Rehman, H.U.; Abbas, S.; Mubarek, F.S. An Energy Efficient and Reliable Routing Scheme to enhance the stability period in Wireless Body Area Networks. Comput. Commun. 2021, 165, 20–32. [Google Scholar] [CrossRef]
  136. Sangwan, A.; Bhattacharya, P. A Study on Various Issues in Different Layers of WBAN. Int. J. Comput. Appl. 2015, 129, 24–28. [Google Scholar] [CrossRef]
  137. Lucas Camelo, S.; Amy Greene, J.L.U.O. The Internet Of Insecure Things: Analyzing a Low-Energy Protocol and Cryptographic Solutions. 2015. Available online: https://courses.csail.mit.edu/6.857/2015/files/camelosa-greene-loving-otgonbaatar.pdf (accessed on 21 November 2021).
  138. Dynastream Innovations Inc. ANT Message Protocol and Usage. D00000652 Rev 5.1. 2014. Available online: https://www.thisisant.com/resources/ant-message-protocol-and-usage (accessed on 21 November 2021).
  139. Assets, V. U.S. Department of Defense Certifies RuBee (IEEE 1902.1) Wireless Has a HERO, Zero Safe Separation Distance (SSD) from Fused Ordnance. 2012. Available online: https://www.prnewswire.com/news-releases/us-department-of-defense-certifies-rubee-ieee-19021-wireless-has-a-hero-zero-safe-separation-distance-ssd-from-fused-ordnance-163527736.html (accessed on 14 November 2021).
  140. Ali, S.T. Security mechanisms for body sensor networks. Ph.D. Thesis, University of New South Wales, Sydney, Australia, 2011. [Google Scholar]
  141. Singelee, D. Study and Design of a Security Architecture for Wireless Personal Area Networks. Ph.D. Thesis, Katholieke Universiteit Leuven, Leuven, Belgium, 2008. [Google Scholar]
  142. Panwar, N.; Sharma, S.; Mehrotra, S.; Krzywiecki, L.; Venkatasubramanian, N. Smart Home Survey on Security and Privacy. arXiv 2019, arXiv:1904.05476. [Google Scholar]
  143. Olawumi, O.; Haataja, K.; Asikainen, M.; Vidgren, N.; Toivanen, P. Three practical attacks against ZigBee security: Attack scenario definitions, practical experiments, countermeasures, and lessons learned. In Proceedings of the 2014 14th International Conference on Hybrid Intelligent Systems, Kuwait, Kuwait, 14–16 December 2014; pp. 199–206. [Google Scholar] [CrossRef]
  144. Research.; Markets. Security in ZigBee Communications. 2016. Available online: https://www.incibe-cert.es/en/blog/security-zigbee-communications (accessed on 18 November 2021).
  145. Iqbal, W.; Kausar, F.; Arif, M. Attacks on Bluetooth Security Architecture and Its Countermeasures. In International Conference on Information Security and Assurance; Springer: Berlin/Heidelberg, Germany, 2010; pp. 190–197. [Google Scholar] [CrossRef]
  146. Be-Nazir, N.; Ibn Minar, N.; Tarique, M. Bluetooth Security Threats And Solutions: A Survey. Int. J. Distrib. Parallel Syst. 2012, 3, 3110. [Google Scholar] [CrossRef]
  147. Lakshmi, M.S.; Kumar, S.P.; Ashok, S. A review on wireless network attacks. Int. J. Comput. Sci. Inf. Technol. (IJCSIT) 2014, 5, 2540–2542. [Google Scholar]
  148. Meng, K. Wi-fi Attack Mitigation: Analysis, Design, and Implementation. Ph.D. Thesis, The University of Alabama, Tuscaloosa, AL, USA, 2011. [Google Scholar]
  149. Aras, E.; Ramachandran, G.S.; Lawrence, P.; Hughes, D. Exploring the Security Vulnerabilities of LoRa. In Proceedings of the 2017 3rd IEEE International Conference on Cybernetics (CYBCONF), Exeter, UK, 21–23 June 2017; pp. 1–6. [Google Scholar] [CrossRef] [Green Version]
  150. Noura, H.; Hatoum, T.; Salman, O.; Yaacoub, J.P.; Chehab, A. LoRaWAN security survey: Issues, threats and possible mitigation techniques. Internet Things 2020, 12, 100303. [Google Scholar] [CrossRef]
  151. Tomasin, S.; Zulian, S.; Vangelista, L. Security Analysis of LoRaWAN Join Procedure for Internet of Things Networks. In Proceedings of the 2017 IEEE Wireless Communications and Networking Conference Workshops (WCNCW), San Francisco, CA, USA, 19–22 March 2017; pp. 1–6. [Google Scholar] [CrossRef]
  152. Gupta, P. Mitigating Risks From A to Z-Wave. 2019. Available online: https://www.securityindustry.org/2019/04/23/mitigating-risks-from-a-to-z-wave/ (accessed on 21 November 2021).
  153. Toorani, M. On Vulnerabilities of the Security Association in the IEEE 802.15.6 Standard. arXiv 2015, arXiv:1501.02601. [Google Scholar]
  154. Diffie, W.; Hellman, M. New Directions in Cryptography. IEEE Trans. Inf. Theor. 2006, 22, 644–654. [Google Scholar] [CrossRef] [Green Version]
  155. Rivest, R.L.; Shamir, A.; Adleman, L. A Method for Obtaining Digital Signatures and Public-key Cryptosystems. Commun. ACM 1978, 21, 120–126. [Google Scholar] [CrossRef] [Green Version]
  156. Karlof, C.; Sastry, N.; Wagner, D. TinySec: A link layer security architecture for wireless sensor networks. In Proceedings of the 2nd International Conference on Embedded Networked Sensor Systems, Baltimore, MD, USA, 3–5 November 2004; pp. 162–175. [Google Scholar] [CrossRef]
  157. Zhao, Z. An Efficient Anonymous Authentication Scheme for Wireless Body Area Networks Using Elliptic Curve Cryptosystem. J. Med. Syst. 2014, 38, 13. [Google Scholar] [CrossRef]
  158. Barua, M.; Liang, X.; Lu, R.; Shen, X. PEACE: An efficient and secure patient-centric access control scheme for eHealth care system. In Proceedings of the 2011 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Shanghai, China, 10–15 April 2011; pp. 970–975. [Google Scholar] [CrossRef]
  159. Guan, T.; Han, J.; Zeng, X. Exploration for energy-efficient ECC decoder of WBAN. In Proceedings of the 2015 IEEE 11th International Conference on ASIC (ASICON), Chengdu, China, 3–6 November 2015; pp. 1–4. [Google Scholar] [CrossRef]
  160. Tian, Y.; Peng, Y.; Peng, X.; Li, H. An Attribute-Based Encryption Scheme with Revocation for Fine-Grained Access Control in Wireless Body Area Networks. Int. J. Distrib. Sens. Netw. 2014, 10, 259798. [Google Scholar] [CrossRef]
  161. Chu, C.K.; Liu, J.; Zhou, J.; Bao, F.; Deng, R. Practical ID-based Encryption for Wireless Sensor Network. IACR Cryptol. Eprint Arch. 2010, 2010, 2. [Google Scholar] [CrossRef] [Green Version]
  162. Sammoud, A.; Chalouf, M.A.; Hamdi, O.; Montavont, N.; Bouallegue, A. A new biometrics-based key establishment protocol in WBAN: Energy efficiency and security robustness analysis. Comput. Secur. 2020, 96, 101838. [Google Scholar] [CrossRef]
  163. Ramli, S.N.; Ahmad, R.; Abdollah, M.F.; Dutkiewicz, E. A biometric-based security for data authentication in Wireless Body Area Network (WBAN). In Proceedings of the 2013 15th International Conference on Advanced Communications Technology (ICACT), PyeongChang, Korea, 27–30 January 2013; pp. 998–1001. [Google Scholar]
  164. Zhang, G.H.; Poon, C.C.Y.; Li, Y.; Zhang, Y.T. A biometric method to secure telemedicine systems. In Proceedings of the 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Minneapolis, MN, USA, 3–6 September 2009; pp. 701–704. [Google Scholar] [CrossRef]
  165. Mehmood, N.Q.; Culmone, R.; Mostarda, L. A Flexible and Scalable Architecture for Real-Time ANT+ Sensor Data Acquisition and NoSQL Storage. Int. J. Distrib. Sens. Netw. 2016, 12, 3651591. [Google Scholar] [CrossRef] [Green Version]
  166. Lehpamer, H. Rfid Design Principles, 2nd ed.; Artech House: Norwood, MA, USA, 2012. [Google Scholar]
  167. Stevens, J.; Weich, C. Rubee (IEEE 1902.1)—The physics behind, real-time, high security wireless asset visibility networks in harsh environments. In Proceedings of the International IEEE Security Conference 2010, Vancouver, BC, Canada, 23–26 May 2010; Available online: https://www.ru-bee.com/Academy/Sec/SecPaper/ (accessed on 24 November 2021).
  168. Sensium. Sensium Communication Protocol. Available online: https://www.sensium.co.uk/_assets/media/documents/brochures/Radio-White-paper.pdf (accessed on 26 October 2021).
  169. Ghamari, M.; Janko, B.; Sherratt, R.S.; Harwin, W.; Piechockic, R.; Soltanpur, C. A Survey on Wireless Body Area Networks for eHealthcare Systems in Residential Environments. Sensors 2016, 16, 831. [Google Scholar] [CrossRef] [Green Version]
  170. Kambourakis, G.; Kolias, C.; Geneiatakis, D.; Karopoulos, G.; Makrakis, G.M.; Kounelis, I. A State-of-the-Art Review on the Security of Mainstream IoT Wireless PAN Protocol Stacks. Symmetry 2020, 12, 579. [Google Scholar] [CrossRef] [Green Version]
  171. World, R.W. Advantages of Insteon Technology Disadvantages of Insteon Technology. 2021. Available online: https://www.rfwireless-world.com/Terminology/Advantages-and-Disadvantages-of-Insteon-technology.html (accessed on 26 October 2021).
  172. Amin, Y.M.; Abdel-Hamid, A.T. A Comprehensive Taxonomy and Analysis of IEEE 802.15.4 Attacks. J. Electr. Comput. Eng. 2016, 2016, 7165952. [Google Scholar] [CrossRef]
  173. Ullah, S.; Mohaisen, M.; Alnuem, M.A. A Review of IEEE 802.15.6 MAC, PHY, and Security Specifications. Int. J. Distrib. Sens. Netw. 2013. [Google Scholar] [CrossRef]
  174. Kwak, K.S.; Ullah, S.; Ullah, N. An Overview of IEEE 802.15.6 Standard. arXiv 2011, arXiv:1102.4106. [Google Scholar]
  175. Toorani, M. Security analysis of the IEEE 802.15.6 standard. Int. J. Commun. Syst. 2016, 29, 2471–2489. [Google Scholar] [CrossRef]
  176. Fan, X.; Susan, F.; Long, W.J.; Li, S. Security Analysis of Zigbee. In Massachusetts Institute of Technology (MIT); 2017; Available online: https://courses.csail.mit.edu/6.857/2017/project/17.pdf (accessed on 14 April 2022).
  177. Razouk, W.; Crosby, G.; Sekkaki, A. New Security Approach for ZigBee Weaknesses. Procedia Comput. Sci. 2014, 37, 56. [Google Scholar] [CrossRef] [Green Version]
  178. Coskun, V.; Ozdenizci Kose, B.; Ok, K. A survey on Near Field Communication (NFC) technology. Wirel. Pers. Commun. 2013, 71. [Google Scholar] [CrossRef]
  179. Zhang, Y.; Weng, J.; Dey, R.; Fu, X. Bluetooth Low Energy (BLE) Security and Privacy. In Encyclopedia of Wireless Networks; Shen, X.S., Lin, X., Zhang, K., Eds.; Springer International Publishing: Cham, Switzerland, 2019; pp. 1–12. [Google Scholar] [CrossRef]
  180. Kacherovska, D. How Secure Is the BLE Communication Standard? Learn How to Make BLE More Secure. 2019. Available online: https://dzone.com/articles/how-secure-is-the-ble-communication-standard (accessed on 3 January 2021).
  181. Zheng, J.; Lee, M.; Anshel, M. Toward Secure Low Rate Wireless Personal Area Networks. IEEE Trans. Mob. Comput. 2006, 5, 1361–1373. [Google Scholar] [CrossRef]
  182. Malgaonkar, S.; Patil, R.; Rai, A.; Singh, A. Research on Wi-Fi Security Protocols. Int. J. Comput. Appl. 2017, 164, 30–36. [Google Scholar] [CrossRef]
  183. Alliance, W.F. Discover Wi-Fi Security. 2021. Available online: https://www.wi-fi.org/discover-wi-fi/security (accessed on 19 November 2021).
  184. Fernando, J. Compound Annual Growth Rate (CAGR). 2021. Available online: https://www.investopedia.com/terms/c/cagr.asp (accessed on 2 November 2021).
  185. Research, T.M. Global Body Area Network Market to Reach Us $62,120.9 Million by 2025—Transparency Market Research, 2018. News Provided by PRNewswire, Source = Transparency Market Research. Available online: https://www.prnewswire.com/news-releases/global-body-area-network-market-to-reach-us-621209-million-by-2025—Transparency-market-research-669364253.html (accessed on 5 November 2021).
  186. Hayward, J. Wearable Technology Forecasts 2021–2031. 2021. Available online: https://www.idtechex.com/en/research-report/wearable-technology-forecasts-2021-2031/839 (accessed on 5 November 2021).
  187. Perez, A.J.; Zeadally, S. Recent Advances in Wearable Sensing Technologies. Sensors 2021, 21, 6828. [Google Scholar] [CrossRef] [PubMed]
  188. Li, Y.; Chen, Y.; Chen, C.S.; Wang, Z.; Zhu, Y.h. Charging While Moving: Deploying Wireless Chargers for Powering Wearable Devices. IEEE Trans. Veh. Technol. 2018, 67, 11575–11586. [Google Scholar] [CrossRef]
  189. 360 Research Reports. Global Body Area Network Market Report, History And Forecast 2016–2027, Breakdown Data By Companies, Key Regions, Types And Application. 2021. Available online: https://www.360researchreports.com/enquiry/request-sample/18429198 (accessed on 5 November 2021).
  190. Future, M.R. Body Area Network Market to Touch USD 21 Billion at 13% CAGR by 2025—Report by Market Research Future (MRFR). Market Research Future. 2021. Available online: https://www.globenewswire.com/news-release/2021/08/12/2279692/0/en/Body-Area-Network-Market-to-Touch-USD-21-Billion-at-13-CAGR-by-2025-Report-by-Market-Research-Future-MRFR.html (accessed on 6 November 2021).
  191. Future, M.R. Body Area Network Market Research Report: By Device (Wearable Devices (Smart Bands, Smartwatches, Smart Earphones) Implantable), by Technology (Bluetooth Low Energy, Zigbee, Wi-Fi, Others) by Application (Medical and Fitness, Sports, Security, Military, Others) and by Region (North America, Europe, Asia-Pacific, Middle East and Africa, Central and South America)—Forecast till 2027. 2021. Available online: https://www.marketresearchfuture.com/sample_request/8516 (accessed on 5 November 2021).
  192. Gartner. Gartner Forecasts Global Spending on Wearable Devices to Total Dollar 81.5 Billion in 2021. 2021. Available online: https://www.gartner.com/en/newsroom/press-releases/2021-01-11-gartner-forecasts-global-spending-on-wearable-devices-to-total-81-5-billion-in-2021 (accessed on 28 October 2021).
  193. Intelligence, M. Smart Wearable Market—Growth, Trends, COVID-19 Impact, and Forecasts (2021–2026). 2021. Available online: https://www.mordorintelligence.com/industry-reports/smart-wearables-market (accessed on 28 October 2021).
  194. NEEDHAM, M. Wearable Devices Market Share, 2022. Online, Business Report. Available online: https://www.idc.com/promo/wearablevendor (accessed on 26 April 2022).
  195. Laricchia, F. Wearables Shipments Worldwide Market Share 2014–2021, by Vendor, 2022. Online, Business Report. Available online: https://0-www-statista-com.brum.beds.ac.uk/statistics/435944/quarterly-wearables-shipments-worldwide-market-share-by-vendor/ (accessed on 26 April 2022).
  196. Compliance & Risks. Compliance & Risks Launches Global Medical Device Regulatory Coverage. Regulation/Compliance Guide. 2021. Available online: https://blog.complianceandrisks.com/news-resources/compliance-risks-launches-global-medical-device-regulatory-coverage (accessed on 6 November 2021).
  197. Lamph, S. Regulation of medical devices outside the European Union. J. R. Soc. Med. 2012, 105 Suppl 1, S12–S21. [Google Scholar] [CrossRef] [Green Version]
  198. Medical Devices Regulations (MDR). Medical Devices Regulations SOR/98-282. 2021. Available online: https://laws-lois.justice.gc.ca/PDF/SOR-98-282.pdf (accessed on 5 November 2021).
  199. WHO. Word Health Organization (WHO). Available online: https://www.who.int/ (accessed on 8 November 2021).
  200. IMDRF. International Medical Device Regulators Forum. 2021. Available online: http://www.imdrf.org/ (accessed on 8 November 2021).
  201. ISO. International Organization for Standardization (ISO). Available online: https://www.iso.org/home.html (accessed on 8 November 2021).
  202. ECRI. Emergency Care Research Institute (ECRI). Available online: https://www.ecri.org/ (accessed on 8 November 2021).
  203. APEC. Asia-Pacific Economic Cooperation (APEC). Available online: https://www.apec.org/ (accessed on 8 November 2021).
  204. AHWP. Asian Harmonisation Working Party (AHWP). Available online: http://www.ahwp.info/ (accessed on 8 November 2021).
  205. ASEAN. Association of Southeast Asian Nations (ASEAN). Available online: https://asean.org/ (accessed on 8 November 2021).
  206. The National Institute for Health and Care Excellence (NICE). Available online: https://www.nice.org.uk/ (accessed on 8 November 2021).
  207. ETSI. European Telecommunications Standards Institute (ETSI). Available online: https://www.etsi.org/ (accessed on 8 November 2021).
  208. FCC. Federal Communications Commission(FCC). Available online: https://www.fcc.gov/ (accessed on 8 November 2021).
  209. HIPPA. Health Insurance Portability and Accountability Act (HIPPA). Available online: https://www.hipaa.com/ (accessed on 8 November 2021).
  210. FDA. Food and Drug Administration (FDA). Available online: https://www.fda.gov (accessed on 8 November 2021).
  211. IMED. Ministry of Health and Medical Education (IMED)—Food & Drug Administration, National Medical Device Directorate. Available online: http://imed.ir/ (accessed on 8 November 2021).
  212. State of Israel Ministry of Health. Medical Device Division. Available online: https://www.health.gov.il/English/MinistryUnits/HealthDivision/MedicalTechnologies/MLD/Pages/default.aspx (accessed on 8 November 2021).
  213. JFDA. Jordan Food and Drug Administration (JFDA). Available online: http://www.jfda.jo/ (accessed on 8 November 2021).
  214. SFDA. The Saudi Food and Drug Authority (SFDA). Available online: https://www.sfda.gov.sa/en/ (accessed on 8 November 2021).
  215. Health, M.; Mohap, P. Registration of a Medical Equipment. Available online: https:/https://mohap.gov.ae/en/services (accessed on 8 November 2021).
  216. Faith, A.E.; Afjn, N.J. National Medicine Regulatory Authorities in Africa: Key to Access to Safe and Effective Medical Products. 2021. Available online: http://aefjn.org/en/national-medicine-regulatory-authorities-in-africa-key-to-access-to-safe-and-effective-medical-products/ (accessed on 9 November 2021).
  217. WHO. Regulatory Harmonization-Updating medicines regulatory systems in sub-Saharan African countries. WHO Drug Inf. 2010, 24. Available online: https://www.who.int/medicines/technical_briefing/tbs/regulatory_harmonization_DrugInfo2010_Vol24_1.pdf?ua=1 (accessed on 9 November 2021).
  218. ARSO. African Organisation for Standardisation—ARSO. Available online: https://www.arso-oran.org/ (accessed on 9 November 2021).
  219. UNECA. African Union (AU) and United Nations Economic Commission for Africa (UNECA). Available online: https://www.uneca.org/ (accessed on 9 November 2021).
  220. Mboya-Okeyo, T.; Ridley, R.; Nwaka, S. The African Network for Drugs and Diagnostic Innovation. Lancet 2009, 373, 1507–1508. [Google Scholar] [CrossRef]
  221. Saidi, T.; Douglas, T. Medical Device Regulation in Africa. In Biomedical Engineering for Africa; University of Cape Town: Cape Town, South Africa, 2019; pp. 175–185. [Google Scholar]
  222. Rugera, S.P.; McNerney, R.; Poon, A.K.; Akimana, G.; Mariki, R.F.; Kajumbula, H.; Kamau, E.; Mpawenimana, S.; Said, S.Y.; Toroitich, A.; et al. Regulation of medical diagnostics and medical devices in the East African community partner states. BMC Health Serv. Res. 2014, 14, 524. [Google Scholar] [CrossRef]
  223. PAHO. Pan American Health Organization (PAHO). Available online: https://www.paho.org/en (accessed on 9 November 2021).
  224. Mercosur. What is MERCOSUR? Available online: https://www.mercosur.int/en/ (accessed on 9 November 2021).
  225. Emergo. COFEPRIS—Mexico Ministry of Health. 2021. Available online: https://www.emergobyul.com/resources/mexico/cofepris#:~:text=COFEPRIS%20or%20the%20Federal%20Committee,advertising%20permits%20for%20these%20products. (accessed on 9 November 2021).
  226. Center for the State Control of Medicines, Equipment and Medical Devices (CEMED). RESOLUTION CECMED 1. 2011. Available online: https://www-cecmed-cu.translate.goog/reglamentacion/aprobadas/resolucion-cecmed-1?_x_tr_sl=auto&_x_tr_tl=en&_x_tr_hl=en&_x_tr_pto=wapp (accessed on 9 November 2021).
  227. Min Wu, J.L. Wearable technology applications in healthcare: A literature review. Online J. Nurs. Inform. (OJNI) 2019, 23. [Google Scholar]
  228. Rodgers, M.M.; Alon, G.; Pai, V.M.; Conroy, R.S. Wearable technologies for active living and rehabilitation: Current research challenges and future opportunities. J. Rehabil. Assist. Technol. Eng. 2019, 6, 2055668319839607. [Google Scholar] [CrossRef]
  229. Filipe, L.; Fdez-Riverola, F.; Costa, N.; Pereira, A. Wireless Body Area Networks for Healthcare Applications: Protocol Stack Review. Int. J. Distrib. Sens. Netw. 2015, 11, 213705. [Google Scholar] [CrossRef]
  230. Nhx, T.; Tech Times. How to Connect Your Samsung Galaxy Watch to an Iphone. 2020. Available online: https://www.techtimes.com/articles/250619/20200626/how-to-connect-your-samsung-galaxy-watch-to-an-iphone.htm (accessed on 28 October 2021).
  231. Buckiewicz, B. Medical Body Area Networks: Rules and Regulations. 2019. Available online: https://www.lairdconnect.com/resources/white-papers/fcc-requirements-for-medical-body-area-networks (accessed on 28 October 2021).
  232. Mahmood, S.N.; Ishak, A.J.; Saeidi, T.; Soh, A.C.; Jalal, A.; Imran, M.A.; Abbasi, Q.H. Full Ground Ultra-Wideband Wearable Textile Antenna for Breast Cancer and Wireless Body Area Network Applications. Micromachines 2021, 12, 322. [Google Scholar] [CrossRef] [PubMed]
  233. Kumar, P.; Ali, T.; Sharma, A. Flexible Substrate based Printed Wearable Antennas for Wireless Body Area Networks Medical Applications (Review). Radioelectron. Commun. Syst. 2021, 64, 337–350. [Google Scholar] [CrossRef]
  234. Wang, N.; Daniels, R.; Connelly, L.; Sotzing, M.; Wu, C.; Gerhard, R.; Sotzing, G.A.; Cao, Y. All-Organic Flexible Ferroelectret Nanogenerator with Fabric-Based Electrodes for Self-Powered Body Area Networks. Small 2021, 17, 2103161. [Google Scholar] [CrossRef]
  235. Cornet, B.; Fang, H.; Ngo, H.; Boyer, E.W.; Wang, H. An Overview of Wireless Body Area Networks for Mobile Health Applications. IEEE Network 2022, 36, 76–82. [Google Scholar] [CrossRef]
  236. Khan, M.D.; Ullah, Z.; Ahmad, A.; Hayat, B.; Almogren, A.; Kim, K.H.; Ilyas, M.; Ali, M. Energy Harvested and Cooperative Enabled Efficient Routing Protocol (EHCRP) for IoT-WBAN. Sensors 2020, 20, 6267. [Google Scholar] [CrossRef] [PubMed]
  237. Feng, M.; Meunier, J. Skeleton Graph-Neural-Network-Based Human Action Recognition: A Survey. Sensors 2022, 22, 2091. [Google Scholar] [CrossRef]
  238. Yan, Y.; Liao, T.; Zhao, J.; Wang, J.; Ma, L.; Lv, W.; Xiong, J.; Wang, L. Deep Transfer Learning with Graph Neural Network for Sensor-Based Human Activity Recognition. arXiv 2022, arXiv:2203.07910. [Google Scholar]
  239. Negra, R. Leveraging Machine Learning for WBANs. In Distributed Computing for Emerging Smart Networks; Jemili, I., Mosbah, M., Eds.; Springer International Publishing: Cham, Switzerland, 2022; pp. 38–59. [Google Scholar]
  240. Kumar, P.; Chauhan, S. RETRACTED ARTICLE: Human activity recognition with deep learning: Overview, challenges and possibilities. CCF Trans. Pervasive Comput. Interact. 2021, 3, 339. [Google Scholar] [CrossRef]
  241. Jiang, W. Graph-based Deep Learning for Communication Networks: A Survey. Comput. Commun. 2022, 185, 40–54. [Google Scholar] [CrossRef]
  242. Ren, Y.; Leng, Y.; Zhu, F.; Wang, J.; Kim, H.J. Data Storage Mechanism Based on Blockchain with Privacy Protection in Wireless Body Area Network. Sensors 2019, 19, 2395. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  243. Kumari, R.; Nand, P.; Astya, R. Integration of Blockchain in WBAN. In Proceedings of the 2019 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS), Coimbatore, India, 6–8 December 2019; pp. 144–149. [Google Scholar] [CrossRef]
  244. Zeadally, S.; Bou abdo, J. Blockchain: Trends and Future Opportunities. Internet Technol. Lett. 2019, 2, 130. [Google Scholar] [CrossRef] [Green Version]
  245. Singh, M.; Fuenmayor, E.; Hinchy, E.P.; Qiao, Y.; Murray, N.; Devine, D. Digital Twin: Origin to Future. Appl. Syst. Innov. 2021, 4, 36. [Google Scholar] [CrossRef]
  246. Khan, S.; Arslan, T.; Ratnarajah, T. Digital Twin Perspective of Fourth Industrial and Healthcare Revolution. IEEE Access 2022, 10, 25732–25754. [Google Scholar] [CrossRef]
Figure 1. Health monitoring smartwatch [13].
Figure 1. Health monitoring smartwatch [13].
Sensors 22 07722 g001
Figure 2. Wearable WBAN survey. (a) Usage and popularity of wearable/connected health devices [18]. (b) reduction in death, visits, admissions, and cost [16].
Figure 2. Wearable WBAN survey. (a) Usage and popularity of wearable/connected health devices [18]. (b) reduction in death, visits, admissions, and cost [16].
Sensors 22 07722 g002
Figure 3. Wearable body-worn motivational model [11].
Figure 3. Wearable body-worn motivational model [11].
Sensors 22 07722 g003
Figure 4. Wireless wearable BAN field.
Figure 4. Wireless wearable BAN field.
Sensors 22 07722 g004
Figure 5. Wellue® O2TM Ring—continuous oxygen monitor [63].
Figure 5. Wellue® O2TM Ring—continuous oxygen monitor [63].
Sensors 22 07722 g005
Figure 6. Wearable, body-worn wireless protocols.
Figure 6. Wearable, body-worn wireless protocols.
Sensors 22 07722 g006
Figure 7. Sensium patch is being placed on the patient’s body [57].
Figure 7. Sensium patch is being placed on the patient’s body [57].
Sensors 22 07722 g007
Figure 8. Wearable, body-worn applications.
Figure 8. Wearable, body-worn applications.
Sensors 22 07722 g008
Figure 9. Body-to-Body network [91]: group of wearable wireless body area networks.
Figure 9. Body-to-Body network [91]: group of wearable wireless body area networks.
Sensors 22 07722 g009
Figure 10. Wrist band with a 4.3 inch flexible OLED display [93].
Figure 10. Wrist band with a 4.3 inch flexible OLED display [93].
Sensors 22 07722 g010
Figure 11. Symmetric key encryption.
Figure 11. Symmetric key encryption.
Sensors 22 07722 g011
Figure 12. Asymmetric key encryption.
Figure 12. Asymmetric key encryption.
Sensors 22 07722 g012
Figure 13. Consumer spendings on wearables [192].
Figure 13. Consumer spendings on wearables [192].
Sensors 22 07722 g013
Figure 14. Year 2020 major players of smartwatches [193].
Figure 14. Year 2020 major players of smartwatches [193].
Sensors 22 07722 g014
Figure 15. Year 2020 and 2021 major players of wearable shipment [194].
Figure 15. Year 2020 and 2021 major players of wearable shipment [194].
Sensors 22 07722 g015
Figure 16. Year 2020, 2021 Major Players of Wearable Shipment [195].
Figure 16. Year 2020, 2021 Major Players of Wearable Shipment [195].
Sensors 22 07722 g016
Figure 17. Focus of medical device companies [196].
Figure 17. Focus of medical device companies [196].
Sensors 22 07722 g017
Table 1. Diversity of WBAN sensors used for life sign monitoring.
Table 1. Diversity of WBAN sensors used for life sign monitoring.
SensorImplantationObservation
Guardian Real-timeinside the bodySugar
MiniMed 530G with Enlitewearable, injectableSugar
FreeStyleinside the bodySugar
Eyeglasses biosensorbody-wornSugar
Eyeglasses biosensorbody-surfaceSugar
Guardian Real-timeinside the bodySugar
IFeverbody-wornTemperature
ISensebody-wornTemperature
Ran’s Nightbody-wornTemperature
FeverFrida thermometerbody-surfacedTemperature
STEMP sensorbody-surfacedTemperature
Aranet medical thermometerbody-wornTemperature
Propellerbody-wornAsthma
AirSoneabody-wornAsthma
Wingbody-wornAsthma
BH1790GLCbody-wornHR
TCRT 1000body-wornHR
Smart QHeart Rate Sensorbody-wornHR
Polar H10body-wornHR
Pulse sensorbody-wornHR
MPU-9250 Invensensebody-wornMotion
MMA 8451Q, accelerometerbody-wornMotion
LSM 303 DLHCbody-wornMotion
BNO055body-wornMotion
MPU-9250 Invensensebody-wornBP
Biosignals pluxbody-wornBP
Proven BPM-337BTbody-wornBP
Omron M7 Intelli ITbody-wornBP
Table 2. LoRaWAN security features [85].
Table 2. LoRaWAN security features [85].
SchemeStandard LoRaWANImproved DO-SEO [85]
Mutual Authentication
Secure Key Exchange
Perfect Forward Secrecy
End-to-End Security
Thwart Replay Attack
Table 3. Wireless protocols adopted by wearables industry.
Table 3. Wireless protocols adopted by wearables industry.
ProtocolDistance RangeData RatePower ConsumptionFrequency BandSuitability
ANT (from Garmins)100 m outer door1 Mbps15 mA Tx 17 mA Rx2.40–2.483 GHzused in sports, fitness and health devices
RuBee (IEEE 1902.1)30 m9.6 kemits energy in nanoWatts, battery lasts for many yearsoperates below 450 kHzconsidered to be a strong contestant for WBAN application
Insteon30 m9.6 kBattery life is 10+ yearsoperates below 450 kHzconsiders being a good protocol for WBAN applications
Sensiumhome area13 k5 days131.65 KHz, 902–924 MHextensively used in health care and diagnostic application, worthy of medical implanting cases, gastrointestinal [74].
Bluetooth Classic (IEEE 802.15.1)100 m1–3 Mbps2.5–100 mW2400–2483.5 MHz range within the ISM 2.4 GHz frequency bandused in different area of tele-medicine and e-health systems, but unfit for WBANs [70].
BLE (Bluetooth 4.2)50–150 m1 Mbps10 mW2.4 GHzBut, not suitable for frequent and steady reporting of health parameters [70]. At the
IEEE 802.11150–200 m54 Mbps1 W2.4 GHz (WiFi), 5 GHzencouraging wireless technology for WBANs [70]
Zigbee 3.0, 802.15.410–100 m250 kbps35 mW2.4 GHz mostly; though some devices use 784 MHz (China), 868 MHz (Europe), 915 MHz (USA, Australia)unsuitable for critical WBAN application which are required to carry urgent data without delays [70].
LoRa (LoRa Alliance)urban 2–5, suburban 15, rural 450.3–50 kbps(customizable), battery life more than 10 Years169 MHz, 433 MHz, 868 MHz (Europe) and 915 MHz (North America)used as LPWAN [88]
NFC (ISO/IEC 18000-3)10 cm106, 100–420 kbps15 mA or less13.56 MHzsmart suits, jackets, jewelry, wrist worns, e-skin, [49]
Z-wave30 cm106, 212 or 424 kbpsit uses 23 mA in transmission mode, battery lasts for decades even900 MHz (ISM), (Z-Wave Alliance ZAD12837/ITU-T G.9959)considered to be a good protocol for WBAN applications [74].
SigFox2–5 (urban), 15 (suburban), 45 (rural)10–100 kbpsbattery life more that 10 years433/868/780/915 MHzused as LPWAN, no mobility and location support [88]
NBIoT2.5–5 kmmore than 250 kbpsbattery life more than 10 yearsCellular (Licensed Band)used as LPWAN, needs GPS for location support, mobility [88]
LTECatM12.5–5 km1 Mbpsbattery life more than 10 yearsCellular (Licensed Band)used as LPWAN, needs GPS for location support, supports mobility [88]
WBAN (802.15.6)suitable for short-range human body communicationMICS (75–455, 75–187, 101–607), I S M 1 (101–607) Mbps, I M S 2 (121–971)0.1 μ WMICS (402–405, 420–450, 863–870), ISM1 (902–928, 950–958), ISM2 (2360–2400, 2400–2483.5)Most of the medical, non-medical, and on-body WBAN devices have adopted this standard for communication, support for location and mobility
Table 4. Military wearables.
Table 4. Military wearables.
ProductProjectProduct TypeFeatures
Life- BEAMLifeBEAMHelmetMonitors beating heartrate using optical sensor
Combat- ConnectThe Army’s Program Executive OfficeWearable electronics systemdisseminate information to/from WBAN using smart hub fixed with military vest/jacket
Black Hornet3 FLIR SYSTEMAutomatic Pocket-sized helicoptercamera that can be fixed with armor/vest; works as elevated binocular
Ground Warfare Acoustical Combat SystemGwacs DefenseA wearable tactical systemIdentifies and locates hostile fire; detects and tracks Small UAVs
Exo- AtletExoAtletLower body powered exoskeletonsMobility assistant, reduce troop’s movement cost
SPaRKSpring ActiveEnergy-scavenging exoskeletonsPerforms energy harvesting to recharge devices
Table 5. Vital sign monitoring systems.
Table 5. Vital sign monitoring systems.
Monitoring Device/SystemVital SignsProviderRef.
Visi Mobile SystemIt is (Continuous Beat-by-Beat Blood Pressure) CNiBP, Non-Invasive Blood Pressure (NiBP), ECGs, Respirations, HR, PR, SPO2, Motions and Postures. Visi Mobile System continuously leveraging on hospital’s existing WiFi infrastructure Sotera WirelessSotera Wireless, Inc.[98]
Mobile Cardiac Outpatient Telemetry (MCOT) Patch SystemMCOT collects medical information using Bluetooth from sensors, transmits ECG wirelessly to BioTel Heart all the timeBio-Tel Heart[99,100]
MCT 3 Lead (MCT 3L) Cardiac TelemetryLifeWatch MCT 3 is very smart in nature, giving a distinct picture of the heart in addition to the rhythms of a heartbeat.Bio-Tel Heart[99]
ePatch Extended Holter MonitoringRecords and stores heartbeatsBio-Tel heart[99]
wEventWireless Cardiac Event Monitor, wEvent supports arrhythmia detection with high precisionBIO-Tel Heart[99]
Wireless Connector for BPA-060Wireless Blood Pressure MonitorAmbio Health[101]
Wireless Connector for PrestoBlood Glucose MonitorAmbio Health[101]
WiCapCapnography device, monitors expired (EtCO2), inspired (FiCO2) breath, respiration rate (RR), SpO2, and pulse rate (PR)Athena GTX[102]
Tac PacMeasures NIBP, HR, SpO2, and ECGAthena GTX[102]
Athena Device Management Suite (ADMS)ADMS connects different wireless vital-sign monitoring devices and is also adaptable to mobiles and smartphones, alarming, awareness, etc.Athena GTX[102]
Wireless Vital Signs MonitorWirelessly monitors Sp02, HR, NIBP, and ECG within a range of 200 yards, ADMS compatibleAthena GTX[102]
Caretakermeasure CNiBP, Heart Rate, and other vital signs, android compatibleCaretaker Medical[103]
SmartSenseTemperature, blood pressure, pulse, SpO2, respiration, pain level, SMD, etc., via any mobile PC, draw plots of vital signsCadi Scientific Pte Ltd.[104]
HealthPatch/Vital Patch, Vista SolutionsHealth monitoring system, which can measure HR, RR, temperature, posture, activity, and fall detectionVital Connect[105]
Fitbit Premium+HealthIt is a personalized health monitoring system that helps a person manage stress, have a sound sleep, and stay active. It provides a daily score of these signs. Users can download their data at any timeFitbit LLC.[106]
Garmin ConnectGarmin Connect can track, analyze and share your health data on mobile or webGarmin Ltd.[107]
Samsung HealthGalaxy smartwatch-based health solution that scores sleep and blood oxygen during sleep. It can also detect snoring and monitor running performanceSamsung Ltd.[108]
Apple Health KitIt assesses the steadiness of walking, falling probability, and goodness of sleep that help helps to assess changes in health. The health data can be shared with concerned peopleApple[109]
Wireless Implantable Cardioverter and DefibrillatorsCardioverter and defibrillators give weak and strong electrical shocks to the heart to maintain rhythm and beating. FD approved such devices a long time ago [110,111]. Each manufacturer has introduced its remote monitoring system, pacemakers and ICDs, such as Home MonitoringTM, CareLink NetworkTM, Latitude Patient Management systemTM, and Merlin.netTM (St Jude Medical, Sylmar, USA). [112]Biotronik, Medtronic, Boston Scientific, Merlin.net[113,114,115,116]
EEG, ECG, EMG, EOG, EGG monitoring devices such as Bittium FarosTM—Cardiac MonitoringThese devices can measure ECG, EMG, EEG, etc., TSE Systems, Lepu Medical Technology, Bittium Corporation, BIOPAC Systems, Inc. are major providers. Stellar Implants, NEO ECG, and Mobita are also good monitoring systemsFabric-embedded devices available at [117][118,119,120,121]
Table 6. Normal ranges of commonly known physiological parameters [125].
Table 6. Normal ranges of commonly known physiological parameters [125].
ParametersNormal Range
Body Temperature37–37 Degrees Celsius
Hear BeatRate 60–100 beats per minute
Breathing Rate12–20 breaths per minute
Oxygen Saturation94–99%
Blood Sugar4–6 mmol/dL (72–108 mmol/dL)
Blood Pressure120/80
Hydration level90–100%
Fall Detection0–20 cm
Table 7. Security threats and possible solutions in WBAN [131,133].
Table 7. Security threats and possible solutions in WBAN [131,133].
Security IssuesSecure System RequirementsPotential Security Measures
Illegitimate access to informationDynamic secure key agreement and trust establishmentRandom ephemeral key generation and distribution, use of public key cryptography
Information DisclosureConfidentiality and privacyLink/network layer encryption and access control
Data ModificationIntegrity and authenticityKeyed secure hash function and Digital signature
Denial of ServiceAvailabilityIntrusion detection systems and redundancy
Compromised/Hijacked NodeCryptosystem must be resilient to node-compromiseAnomaly detection, comprising nodes isolation
Routing vulnerabilitiesProtection of routing informationUse of secure routing algorithms
Intrusions/Unauthorized Access to Network SystemIntrusion detection and prevention, secure data aggregation, group communication and managementIntrusion detection and prevention systems
Table 8. Attacks on WBAN wireless technologies.
Table 8. Attacks on WBAN wireless technologies.
ProtocolSecurity RisksProposed Control Measures
ANTby default ANT+ is not encrypted, AES128 support in special cases, provided in single channel communication only, lack of authentication, MITM [137].network key along with network number provides different options for access control and security level [137,138]
Rubeeno eavesdropping, high packet security due to date and time stamp [139].eavesdropping range is similar to that of tag range; such a close eavesdropper can be detected easily, it meets a high standard of security also being used in many US Govt. owned departments [139] of USA
SensiumSensium is vulnerable to all those attacks, launched on body sensor networks, such as insider attacks, DOS, wormhole, replay, jamming, etc. [140]per hop encryption can reduce the chances of attacks, also reduces overload over the network as well [140]
Zigbeeinsufficient integrity protection due to sending unencrypted key; location privacy, an initialization vector (or Nonce), and key management are susceptible to high-security risks; improper support of group keying [141]. Due to default weak password, misconfiguration of the Zigbee IP network, and the gateway or lack of security an attacker can bypass Zigbee authentication check [142]; replay attack, device identification attack, and packet interception are a few of the other ones [143]time stamping, AES, and Message Integrity Codes (MIC) can be used to mitigate the risks [143]. In addition to this, since the security keys are stored in memory, adversaries can directly steal them. Therefore, it is advised to use a microcontroller for secure authentication and to eliminate the threat of physical corruption of security keys [144].
Bluetoothintrusion in pico-net, MITM (Man-in-the-Middle)/Impersonation, DOS attacks, Bluejacking [142,145]. A few other reported attacks are MAC-spoofing, PIN cracking, BlueSnarfing, BlueBugging, BluePrinting, Blue over, off-line PIN recovery attack, brute-force, reflection, backdoor, Cabir worm, Skulls worm, and Lasco worm [146].use long PIN Codes, do not pair in public areas, and turn on non-discoverable mode after use, at the corporate level proper policies and guidelines be devised for Bluetooth pairing [145]
WiFicipher attack is used to attain the encryption key through processing information exchanged between sender and receiver. WEP, WPA-PSK Dictionary, WPA/TKIP, and LEAP are a few of the cipher attacks. WiFi also faces, jamming, flooding, evil-twin threats [142,147]separating the guest network from actual, encrypting traffic with WPA2 or WPA3, updating firmware timely, creating secure SSID, restricting WiFi to business hours only, all these measures can mitigate the attacks on WiFi [148].
LORAattacker can obtain access to physical LORA device, jamming-communication channel can block with the high power radio signal, replay, beacon synchronization, traffic analysis, MITM are a few threats to LORA [84]. DOS, Bit-flipping, ACK spoofing. LoRa vulnerability survey can be viewed from [149,150].dynamic or ephemeral key generation, DevNonce of large size can prevent join attacks [151], Block-chain is also good for powered limited devices [88]. Use Over-The-Air-Activation (OTAA) [150]
NFCeavesdropping, cloning of ticket, spoofing, a man in the middle attack, corruption of data, insertion of malicious data, relay, ghost and leech, DOS, phishing, a threat to ID, PIN, credentials of credit card, etc.shared secret keys, certificate-based authentication WEP based security can be used to reduce the probability of these attacks [73]
Z-WaveZ-Wave device pairing process with the controller can run many times, which attracts “key reset attack” [142,152]vulnerability has not been fixed, more than one million devices are in the market with this vulnerability [152]
WBANKey-Compromise Impersonation (KCI), Impersonation, WBAN security protocols do not forward secrecy as well [153]using certified keys KCI can be avoided, but it is not recommended in standards due low resources of WBAN devices [153]
Table 9. National and international regulatory bodies.
Table 9. National and international regulatory bodies.
Regulatory BodyYear and LocationMembersComments
WHO [199]1948, Geneva (Switzerland)Globe is a member of the Word Health Organization (WHO)Looks into global health concerns. https://www.who.int/, Accessed on: 14 April 2022
Global Harmonization Task Force (GHTF), its website is ceased, visit [200]1992, USAUSA, European Union (EU), Japan, Australia and Canada, AHWP, International Organization for Standardization (ISO), and the International Electrotechnical Commission (IEC)Volunteer, the original group of people from MDR formed it for the regulation of medical. GHTF was replaced by International Medical Device Regulators Forum (IMDRF) in 2012 with the aim build a strong foundation of GHTF. https://iris.paho.org/bitstream/handle/10665.2/51549/PAHOHSS19003_eng.pdf, Accessed on: 14 April 2022, https://www.adb.org/sites/default/files/publication/184392/better-regulation-medicine.pdf, Accessed on: 14 April 2022, https://pdf.usaid.gov/pdf_docs/PA00TPBN.pdf, Accessed on: 14 April 2022
IMDRF [200]1911, NAAustralia, Brazil, Canada, China, Europe, Japan, Russia, Singapore, South Korea, USASuccessor of GHTF
ISO [201]1947, Geneva Switzerland163 countries are members International Organization for Standardization (ISO)largest organization in the world for formulating standards https://www.iso.org/home.html, Accessed on: 14 April 2022
Emergency Care Research Institute (ECRI) [202]1968, Pennsylvania USAUSA, European Free Trade Association (EFTA), But USA and Canada mutually developed Universal Medical Device Nomenclature System (UMDNS)ECRI maintained UMDNS, the development of Asian Medical Device Nomenclature System (AMDNS) is also based UMDNS https://www.ecri.org/, Accessed on: 14 April 2022
APEC [203]1989, SingaporeAustralia, Brunei Darussalam, Canada, Indonesia, Japan, Korea, Malaysia, New Zealand, the Philippines, Singapore, Thailand, USA, China, Hong Kong, Chinese Taipei (Taiwan), Mexico, Papua New Guinea, Chile, Peru, Russia and VietnamAsia-Pacific Economic Cooperation (APEC) provides forum for free trade among member countries https://www.apec.org/, Accessed on: 14 April 2022
Asian Harmonisation Working Party (AHWP) [204]1996–97, Hong Kong (Asia)Abu Dhabi (UEA), Brunei Darussalam, Cambodia, Chile, China, Chinese Taipei (Taiwan), Hong Kong SAR, India, Indonesia, Jordan, Saudi Arabia, Korea, Laos, Malaysia, Myanmar, Pakistan, Philippines, Singapore, South Africa, Thailand, and VietnamIt ensures the regulation of medical devices in Asia, now working on Safety Alert Dissemination System. http://www.ahwp.info/, Accessed on: 14 April 2022
Association of Southeast Asian Nations (ASEAN) [205]1967, Jakarta (South Asia)Bangkok, Indonesia, Malaysia, Philippines, Singapore, Thailand, Brunei Darussalam, Vietnam, Laos, Myanmar and Cambodia. Within ASEAN The Medical Device Product Working Group (MDPWG) is responsible for the regulations of medical devices.The ASEAN Medical Device Directive (AMDD) formulate basic requirements for the safety, performance and efficiency of medical devices that include a device classification and post-marketing alert system that should be circulated throughout the ASEAN. https://asean.org/, Accessed on: 14 April 2022
NICE [206]1999, UK.European Union. UK is a member of The National Institute for Health and Care Excellence (NICE)regulates the use health technologies and clinical practices in the UK. Also provides guidance on health care services and promotion. https://www.nice.org.uk/, Accessed on: 14 April 2022
ETSI [207]1988, Sophia Antipolis, FranceEuropean UnionETSI regulates technical standards of ICT (Information and Communications Technologies) enabled devices, systems and services https://www.etsi.org/, Accessed on: 14 April 2022
FCC [208]1934, USAUS States comply with Federal Communications Commission (FCC)FCC regulates radio, TV, satellite and cable communication in USA. FCC and other regulatory bodies look into the issues such as how much radio frequency/ energy absorption is harmful for humans https://www.fcc.gov/, Accessed on: 14 April 2022
HIPPA [209]Act of 1936, USAUS States follows Health Insurance Portability and Accountability Act (HIPPA)In the USA, HIPPA is responsible for ensuring that the privacy, integrity and access controls are meeting defined standards, rules and regulation. https://www.hipaa.com/, Accessed on: 14 April 2022
Table 10. Country-wise regulatory bodies.
Table 10. Country-wise regulatory bodies.
CountryRegulatory BodyYearPurpose
USAThe Food and Drug Administration [210]1906, Maryland (USA)oversees radio and non-radio based medical devices, medicines and drugs, cosmetics, and biologics in the USA
RussiaRoszdravnadzor (Federal Service on Surveillance in Healthcare and Social Development2004, Moscow (Russia)it handles registration, clinical safety and efficiency of medical devices. It also oversees post-market surveillance of these devices
RussiaGosstandart (Federal Agency for Technical Regulation and Meteorology)2004, Moscow (Russia)ensures that imported devices meet all Russian standards. Its parent body is Ministry of Industry and Trade
RussiaRospotrebnadoz (Federal Service for Supervision in the Area of Consumer Rights and Welfare Protection)1922, Moscowensures that BAN devices meet hygienic and epidemiological regulations
ChinaState Food and Drug Administration (SFDA), China Food and Drug Administration (CFDA) in 2013 China: Also a member of AHWP and APECCFDA (2013), NMPA (2018), Beijing (China)accountable for the regulation of locally manufactured and imported BAN medical devices. CFDA was renamed as National Medical Products Administration in 2018
Hong KongDevice Administrative Control System (MDACS), Hong Kong is also also a member of AHWP and APEC2004, Hong KongThe Medical Device Division (MDD) is accountable for implementing MDACS and developing a long-term statutory regulatory framework for local and imported medical devices. The old name of MDD was Medical Device Control Office (MDCO) formed in 2004.
IndiaCentral Drug Standards Control Organization (CDSCO) India: Also a member of AHWP, Based on The Drugs and Cosmetics Act 1940 and Rules 1945, IndiaNAworks under Ministry of Health and Family Welfare. Carries regulation of medical devices, imported implantable, diagnostic kits and sterile devices require registration under the current system, registration will follow the GHTF, Central Licensing Approval Authority (CLAA)
IranMinistry of Health and Medical Education—Food and Drug Administration, National Medical Device Directorate [211]NA, NAdevice classification follows GHTF, registration is similar to FDA or EU.
IsraelMedical Device Division of the Ministry of Health (AMAR) [212]NA, NAdevices regulation strictly follows US FDA and EU CE.
JordanThe Jordan Food and Drug Administration (JFDA) [213], Jordan is also a member of AHWP2003, Amman (Jordan)enforces laws and regulation for medical device, if the device is approved from USA FDA and EU CE it does need clearance in Jordan
Saudi ArabiaThe Saudi Food and Drug Authority (SFDA) [214], Saudi Arabia is also a member of AHWP2003only those devices are permitted that have approval from any one of the GHTF member
UAEUAE Ministry of Health Drug Registration and Control Department [215], United Arab Emirates (UAE) is also a member of AHWPNA, NAUAE adopts guidelines of GHTF, EU, Australian TGA and USA FDA in addition to UAE Pharmacy Law No4 for 1983
AfricaNational Medicines Regulatory Authorities (NMRA) [216,217], African Organization for Standardization (ARSO) [218], The African Network for Drugs and Diagnostic Innovation (ANDI), African Union (AU) and United Nations Economic Commission for Africa (UNECA) [219]ARSO (1970, Kenya), UNECA (1958)Only 7% of African countries have NMRA, 63% have minute regulations, and 31% are without regulations. ANDI was developed in phases by WHO in collaboration with TDR, AFRO and EMRO, African Development Bank, etc. [220]. More on regulatory authorities in African and East African countries can be seen from [221,222].
CaribbeanPan American Health Organization (PAHO) [223], also operates in Central and South America1902, Washington DCPAHO has assigned a task to ECRI to develop and coordinate programs for medical device safety and regulation
South AmericaMercado Común del Sur (MERCOSÚR) [224], Argentina, Brazil, Paraguay, Uruguay, Venezuela Chile, Bolivia, Colombia, Ecuador and Peru1991, Montevideo (Uruguay)regulation for medical devices, single approval scheme similar to EU, Products with FDA/EU marks having Free Sale Certificate (FSC) or a Certificate to Foreign Government (CFG) affirm they can be sold
MexicoFederal Commission for the Protection against Sanitary Risk (COFEPRIS) [225]2001, Mexicoregulation of medical devices and IVDs. Mexico is also a member of APEC and HAFTA
Cubaleft for the State Control of Medicines, Equipment and Medical Devices (CEMED) [226], Cuba is also a member of GHTFNA, La Habanaregulation of medical devices based on GHTF. CCEEM is in La Habana (Cuba)
Table 11. Wireless wearable body area networks projects [74,229].
Table 11. Wireless wearable body area networks projects [74,229].
ProjectApplicationCommunication
Body Inertial SensingMeant for hospitals, where it provides information to measure three degrees of freedomBody Sensor Networks (BSN) ZigBee/Bluetooth
Code BlueTargets medical care to provide pulse rate, BP, and motion informationIntra-BAN (Wired), Inter-BAN (Zigbee, Mesh), Beyond-BAN (N/A)
LOBINMeasures HR, BP, TemperatureWireless Sensor Networks (IEEE 802.15.4)
MEDISNUsed in hospitals for emergency detectionWSN for monitoring patient physiological data and multi-hop wireless backbone for carrying these data
Unobstructive BANApplied in hospital and disaster events to generate alarms based on identified movements and posturesIntra-BAN is Low-power and short-range WBAN, Inter-BAN is Bluetooth, and or Beyond BAN is GSM
WPWSMeasures temperature, humidity, and velocity of air flowRFID like system
BASUMATargeted application area is health monitoring for measuring ECG, Respirate/Breath Rate SpO2Intra-BAN (UWB), Inter-BAN (N/A), Beyond-BAN (N/A)
MobileHealthMonitoring of patients ECG in ambulanceIntra-BAN (Manual), Inter-BAN (Zigbee, Bluetooth), Beyond-BAN (GPRS, UMTS)
AID-NReply BP, ECG, Pulse Rate in emergency systemsIntra-BAN (Wired), Inter-BAN (Zigbee, Bluetooth), Beyond-BAN (WiFi, Internet, Cellular Networks)
MAHSTargets health application to provide information about breathing and pulse rate, body motion, temperature, pressure and SpO2.Intra-BAN (Bluetooth), Inter-BAN (Zigbee), Beyond-BAN (Internet)
LifeMinderTargets self-care applications. Used to report pulse rate, ECG, SpO2, temperature, body movement, emotional state intensityIntra-BAN (Bluetooth), Inter-BAN (Bluetooth), Beyond-BAN (Internet)
SMARTMonitor patients ECG, SpO2 while sitting in waiting roomIntra-BAN (Wired), Inter-BAN (Bluetooth), Beyond-BAN (N/A)
CareNetTargets remote healthcare applications to report BP, temperature and body inertial (posture and movement) informationIntra-BAN (N/A), Inter-BAN (Zigbee), Beyond-BAN (Internet, Multi-hop 802.11)
ASNETTargets remote healthcare applications for providing patient BP, temperature informationIntra-BAN (Wired, WiFi), Inter-BAN (Wired, WiFi), Beyond-BAN (Internet, GSM,)
WHMSUsed in health for monitoring ECG/EKGIntra-BAN (Wired), Inter-BAN (Wired, WiFi), Beyond-BAN (N/A)
Human++Provides entertaino-medical living standard with ECG, EMG, EEG facilityIntra-BAN (UWB), Inter- BAN (N/A), Beyond-BAN (N/A)
WiMoCAProvides gesture detection in sportsIntra-BAN, Inter-BAN (Bluetooth), Beyond-BAN (WiFi, Cellular Networks)
AyushmanUsed in health monitoring and provides information about EKG, BP, SpO2 and body gestureIntra-BAN (Zigbee), Inter-BAN (WiFi), Beyond-BAN (Internet)
LifeguardApplied in space and terrestrial applications to monitor ECG, respiration and pulse rate, SpO2 and body motionIntra-BAN (Wired), Inter-BAN (Bluetooth, Internet), Beyond-BAN (Bluetooth/Internet)
IBBT IM3Used in Telemedicine and Telecare application and measures patient ECG, respiration and heart rateIntra-BAN (N/A), Inter-BAN (N/A), Beyond-BAN (Internet)
MITHrlUsed in healthcare applications and measures patient ECG and EKGIntra-BAN (Wired), Inter-BAN (WiFi), Beyond-BAN (N/A)
UbiMonUsed in healthcare application and measures patient ECG and EKG, SpO2Intra-BAN (Zigbee), Inter-BAN (WiFi/GPRS), Beyond-BAN (WiFi/GPRS)
H2020 MCSA ITN/EJD A-WEARUsed in healthcare application and measures patient ECG and EKG, SpO2Intra-BAN (Zigbee), Inter-BAN (WiFi/GPRS), Beyond-BAN (WiFi/GPRS)
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Bhatti, D.S.; Saleem, S.; Imran, A.; Iqbal, Z.; Alzahrani, A.; Kim, H.; Kim, K.-I. A Survey on Wireless Wearable Body Area Networks: A Perspective of Technology and Economy. Sensors 2022, 22, 7722. https://0-doi-org.brum.beds.ac.uk/10.3390/s22207722

AMA Style

Bhatti DS, Saleem S, Imran A, Iqbal Z, Alzahrani A, Kim H, Kim K-I. A Survey on Wireless Wearable Body Area Networks: A Perspective of Technology and Economy. Sensors. 2022; 22(20):7722. https://0-doi-org.brum.beds.ac.uk/10.3390/s22207722

Chicago/Turabian Style

Bhatti, David Samuel, Shahzad Saleem, Azhar Imran, Zafar Iqbal, Abdulkareem Alzahrani, HyunJung Kim, and Ki-Il Kim. 2022. "A Survey on Wireless Wearable Body Area Networks: A Perspective of Technology and Economy" Sensors 22, no. 20: 7722. https://0-doi-org.brum.beds.ac.uk/10.3390/s22207722

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop