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Applied Sciences
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Recent Advances in Wireless Sensor Networks and Its Applications
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Recent Advances in Wireless Sensor Networks and Its Applications

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: closed (20 April 2023) | Viewed by 8136

Special Issue Editors

Prof. Dr. Honglong Chen

E-Mail Website
Guest Editor
College of Control Science and Engineering, China University of Petroleum (East China), Qingdao 266580, China
Interests: crowdsensing; edge computing; AI security
Special Issues, Collections and Topics in MDPI journals
Dr. Junmei Yao

E-Mail Website
Guest Editor
College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China
Interests: wireless networking; mobile computing; internet of things

Special Issue Information

Dear Colleagues,

In recent years, wireless sensor networks (WSNs) have been widely deployed, such as for environmental monitoring, scientific exploration, and infrastructure surveillance, to obtain a great quantity of sensing data. These new application scenarios require wireless sensor networks to be more affordable, with a higher computing capacity and bigger energy supply. This poses new challenges in the constant evolution of wireless sensor networks. Therefore, this Special Issue intends to present new ideas and experimental results in the field of wireless sensor networks from their design, service, and theory to practical applications.

This Special Issue will focus on (but is not limited to) the following topics:

  • Novel WSN architecture and protocol design;
  • Hardware design for WSNs;
  • New network/link/physical layer design for WSNs;
  • Network coverage and node placement in WSNs;
  • Innovative applications of WSNs;
  • Wireless rechargeable sensor networks and energy-harvesting WSNs;
  • Secure WSNs;
  • Machine learning and artificial intelligence application in WSNs.

Prof. Dr. Honglong Chen
Dr. Junmei Yao
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • WSN architecture and protocol design
  • hardware design
  • network coverage
  • node placement
  • wireless rechargeable sensor networks
  • energy-harvesting WSNs
  • security
  • machine learning
  • intelligent wireless sensor networks

Published Papers (4 papers)

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Research

18 pages, 3645 KiB  
Article
A Wireless Sensor System for Diabetic Retinopathy Grading Using MobileViT-Plus and ResNet-Based Hybrid Deep Learning Framework
by Zhijiang Wan, Jiachen Wan, Wangxinjun Cheng, Junqi Yu, Yiqun Yan, Hai Tan and Jianhua Wu
Appl. Sci. 2023, 13(11), 6569; https://0-doi-org.brum.beds.ac.uk/10.3390/app13116569 - 29 May 2023
Cited by 2 | Viewed by 1591
Abstract
Traditional fundus image-based diabetic retinopathy (DR) grading depends on the examiner’s experience, requiring manual annotations on the fundus image and also being time-consuming. Wireless sensor networks (WSNs) combined with artificial intelligence (AI) technology can provide automatic decision-making for DR grading application. However, the [...] Read more.
Traditional fundus image-based diabetic retinopathy (DR) grading depends on the examiner’s experience, requiring manual annotations on the fundus image and also being time-consuming. Wireless sensor networks (WSNs) combined with artificial intelligence (AI) technology can provide automatic decision-making for DR grading application. However, the diagnostic accuracy of the AI model is one of challenges that limited the effectiveness of the WSNs-aided DR grading application. Regarding this issue, we propose a WSN architecture and a parallel deep learning framework (HybridLG) for actualizing automatic DR grading and achieving a fundus image-based deep learning model with superior classification performance, respectively. In particular, the framework constructs a convolutional neural network (CNN) backbone and a Transformer backbone in a parallel manner. A novel lightweight deep learning model named MobileViT-Plus is proposed to implement the Transformer backbone of the HybridLG, and a model training strategy inspired by an ensemble learning strategy is designed to improve the model generalization ability. Experimental results demonstrate the state-of-the-art performance of the proposed HybridLG framework, obtaining excellent performance in grading diabetic retinopathy with strong generalization performance. Our work is significant for guiding the studies of WSNs-aided DR grading and providing evidence for supporting the efficacy of the AI technology in DR grading applications. Full article
(This article belongs to the Special Issue Recent Advances in Wireless Sensor Networks and Its Applications)
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16 pages, 2745 KiB  
Article
Real-Time Indoor Positioning Based on BLE Beacons and Pedestrian Dead Reckoning for Smartphones
by Zhiang Jin, Yanjun Li, Zhe Yang, Yufan Zhang and Zhen Cheng
Appl. Sci. 2023, 13(7), 4415; https://0-doi-org.brum.beds.ac.uk/10.3390/app13074415 - 30 Mar 2023
Cited by 4 | Viewed by 2074
Abstract
Nowadays, smartphones have become indispensable in people’s daily work and life. Since various sensors and communication chips have been integrated into smartphones, it has become feasible to provide indoor positioning using phones. This paper proposes such a solution based on a smartphone, combining [...] Read more.
Nowadays, smartphones have become indispensable in people’s daily work and life. Since various sensors and communication chips have been integrated into smartphones, it has become feasible to provide indoor positioning using phones. This paper proposes such a solution based on a smartphone, combining Bluetooth low energy (BLE) and pedestrian dead reckoning (PDR) in the particle filter framework to realize real-time and reliable indoor positioning. First, the smartphone’s built-in accelerometer, magnetometer, and gyroscope are used to provide data measurements and formulate a feasible method for PDR. Second, a range-free weighted centroid algorithm is proposed to realize BLE-based localization with low computation complexity. However, a single positioning technology has limitations, e.g., the cumulative error of PDR and the received signal strength fluctuation of BLE. Finally, to exploit the complementary strengths of each technology, a fusion framework utilizing a particle filter is proposed to combine PDR and BLE-based methods and provides more stable and accurate positioning results. Experiments are conducted on a floor in a campus building. Experimental results show that our proposed fused positioning method offers more accurate and stable performance in the long run compared with single PDR or BLE-based positioning. The achieved average positioning error is 1.34 m, which is reduced by 24.16% compared with PDR positioning and 10.60% compared with BLE-based positioning. Moreover, about 95% of the positioning errors are smaller than 1.7 m. The proposed fused positioning method has a vast application prospect in indoor navigation, indoor user tracking, and interactive experience for indoor visitors. Full article
(This article belongs to the Special Issue Recent Advances in Wireless Sensor Networks and Its Applications)
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20 pages, 2661 KiB  
Article
Lightweight Integrity Preserving Scheme for Secure Data Exchange in Cloud-Based IoT Systems
by Zaid Alaa Hussien, Husam A. Abdulmalik, Mohammed Abdulridha Hussain, Vincent Omollo Nyangaresi, Junchao Ma, Zaid Ameen Abduljabbar and Iman Qays Abduljaleel
Appl. Sci. 2023, 13(2), 691; https://0-doi-org.brum.beds.ac.uk/10.3390/app13020691 - 04 Jan 2023
Cited by 5 | Viewed by 1528
Abstract
The information obtained from external sources within the cloud and the resulting computations are not always reliable. This is attributed to the absence of tangible regulations and information management on the part of the information owners. Although numerous techniques for safeguarding and securing [...] Read more.
The information obtained from external sources within the cloud and the resulting computations are not always reliable. This is attributed to the absence of tangible regulations and information management on the part of the information owners. Although numerous techniques for safeguarding and securing external information have been developed, security hazards in the cloud are still problematic. This could potentially pose a significant challenge to the effective adoption and utilization of cloud technology. In terms of performance, many of the existing solutions are affected by high computation costs, particularly in terms of auditing. In order to reduce the auditing expenses, this paper proposes a well-organised, lightweight system for safeguarding information through enhanced integrity checking. The proposed technique implements a cryptographic hash function with low-cost mathematic operations. In addition, this paper explores the role of a semi-trusted server with regard to smart device users. This facilitates the formal management of information prior to distribution through the IoT-cloud system. Essentially, this facilitates the validation of the information stored and exchanged in this environment. The results obtained show that the proposed system is lightweight and offers features such as a safeguarding capability, key management, privacy, decreased costs, sufficient security for smart device users, one-time key provision, and high degree of accuracy. In addition, the proposed method exhibits lower computation complexity and storage expenses compared with those of other techniques such as bilinear map-based systems. Full article
(This article belongs to the Special Issue Recent Advances in Wireless Sensor Networks and Its Applications)
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24 pages, 2698 KiB  
Article
Energy Efficient Dynamic Symmetric Key Based Protocol for Secure Traffic Exchanges in Smart Homes
by Vincent Omollo Nyangaresi, Zaid Ameen Abduljabbar, Keyan Abdul-Aziz Mutlaq, Junchao Ma, Dhafer G. Honi, Abdulla J. Y. Aldarwish and Iman Qays Abduljaleel
Appl. Sci. 2022, 12(24), 12688; https://0-doi-org.brum.beds.ac.uk/10.3390/app122412688 - 11 Dec 2022
Cited by 4 | Viewed by 2105
Abstract
Highly sensitive information about people’s social life and daily activities flows in smart home networks. As such, if attackers can manage to capture or even eavesdrop on this information, the privacy of the users can be compromised. The consequences can be far-reaching, such [...] Read more.
Highly sensitive information about people’s social life and daily activities flows in smart home networks. As such, if attackers can manage to capture or even eavesdrop on this information, the privacy of the users can be compromised. The consequences can be far-reaching, such as knowing the status of home occupancy that can then facilitate burglary. To address these challenges, approaches such as data aggregation and signcryption have been utilized. Elliptic curve cryptography, bilinear pairing, asymmetric key cryptosystem, blockchain, and exponential operations are among the most popular techniques deployed to design these security solutions. However, the computational, storage and communication complexities exhibited by the majority of these techniques are too high. This renders these techniques unsuitable for smart home components such as smart switches and sensors. Some of these schemes have centralized architectures, which present some single points of failure. In this paper, symmetric key authentication procedures are presented for smart home networks. The proposed protocol leverages on cryptographic primitives such as one-way hashing and bitwise exclusive-Or operations. The results indicate that this scheme incurs the lowest communication, storage, and computation costs compared to other related state-of-the-art techniques. Empirically, our protocol reduces the communication and computation complexities by 16.7% and 57.7%, respectively. In addition, it provides backward key secrecy, robust mutual authentication, anonymity, forward key secrecy, and unlinkability. Moreover, it can effectively prevent attacks such as impersonation, session hijacking, denial of service, packet replays, man-in-the-middle, and message eavesdropping. Full article
(This article belongs to the Special Issue Recent Advances in Wireless Sensor Networks and Its Applications)
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