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Processes
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Smart Systems and Internet of Things (IoT)
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Smart Systems and Internet of Things (IoT)

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Advanced Digital and Other Processes".

Deadline for manuscript submissions: closed (30 November 2021) | Viewed by 15084

Special Issue Editor

Prof. Dr. Chih-Yu Wen

E-Mail Website
Guest Editor
Department of Electrical Engineering, National Chung Hsing University, South District, Taichung City 402, Taiwan
Interests: wireless communications; wireless healthcare sensor networks; adaptive signal processing; distributed networked sensing and control

Special Issue Information

Dear Colleagues,

Smart systems integrate sensing, actuation, signal processing, and control in order to make decisions and create a smart environment. Smart system is the next generation of computing and information system, combining artificial intelligence, machine learning, cyber-physical systems, edge/cloud computing, pervasive/ubiquitous computing, big data analytics, and Internet of Things (IoT) technologies to provide real-time networked information and control, which considerably contributes to the development of the future IoT.

Due to the large diversity of IoT devices and technologies, the major challenges in smart systems are: how to design and build integrated smart systems? how to use computing technologies efficiently and effectively? This Special Issue aims at the theory and practice of smart systems and IoT technologies and welcomes original contributions and review papers that are relevant to the following potential areas:

  • Computing Models and Algorithms for Smart Systems
  • Artificial Intelligence and Machine Learning for Smart Systems
  • Platforms for Smart Systems
  • Smart Communication and Networking Technologies
  • Big Data and Smart Systems
  • Biometrics and Smart Systems
  • Cloud/Edge/Fog Computing Technologies for Smart Systems
  • System Design and Architecture for Smart Systems
  • IoT and Industrial IoT Technologies for Smart Systems
  • Interdisciplinary Technological Approaches and Solutions for Smart Systems
  • Smart System Applications (e.g., smart security and surveillance systems, smart transportation systems, smart agriculture, smart healthcare systems, unmanned systems, smart energy management, smart logistics and supply chain management systems)

Prof. Chih-Yu Wen
Guest Editor

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. Processes is an international peer-reviewed open access monthly 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

  • Smart System
  • Internet of Things
  • Computing Technologies
  • System Applications
  • Artificial Intelligence
  • Machine Learning
  • System Design and Architecture
  • System Platforms

Published Papers (4 papers)

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Research

17 pages, 8314 KiB  
Article
A LoRa-Based Multisensor IoT Platform for Agriculture Monitoring and Submersible Pump Control in a Water Bamboo Field
by Yaw-Wen Kuo, Wei-Ling Wen, Xue-Fen Hu, Ying-Ting Shen and Shen-Yun Miao
Processes 2021, 9(5), 813; https://0-doi-org.brum.beds.ac.uk/10.3390/pr9050813 - 07 May 2021
Cited by 16 | Viewed by 5071
Abstract
This paper presents a long-range (LoRa)-based Internet of Things (IoT) system that consists of a series of IoT units in the field, as well as several servers for agriculture monitoring and pump control in water bamboo fields. Four types of IoT units were [...] Read more.
This paper presents a long-range (LoRa)-based Internet of Things (IoT) system that consists of a series of IoT units in the field, as well as several servers for agriculture monitoring and pump control in water bamboo fields. Four types of IoT units were developed in accordance with the application’s need based on LoRa technology. Front- and back-end servers were constructed for data delivery, storage, and visualization, forming a complete solution. Another key feature is making a traditional submersible pump programmable with one IoT unit attached to the magnetic contactor in the electricity distribution box. Moreover, this paper presents design details of the proposed system and field experiment results for function validation. This IoT system is the first step in our project of revealing the relationship between farming and environmental reaction. This makes proposing a new farming procedure possible in the future. Full article
(This article belongs to the Special Issue Smart Systems and Internet of Things (IoT))
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16 pages, 2234 KiB  
Article
Development of an Ultrasound Technology-Based Indoor-Location Monitoring Service System for Worker Safety in Shipbuilding and Offshore Industry
by Jonghee Park, Hanjune Kim, Jaejun Yoon, Hyoungmin Kim, Chulgyun Park and Daegeun Hong
Processes 2021, 9(2), 304; https://0-doi-org.brum.beds.ac.uk/10.3390/pr9020304 - 05 Feb 2021
Cited by 6 | Viewed by 2062
Abstract
We have built a worker-safety monitoring system (WSMS) for use in the shipbuilding and offshore industry (S&OI). The WSMS combines metal-conductor communication wireless networks with location-estimation technology that uses ultrasound signals in the frequency band 18 to 22 kHz, which is above the [...] Read more.
We have built a worker-safety monitoring system (WSMS) for use in the shipbuilding and offshore industry (S&OI). The WSMS combines metal-conductor communication wireless networks with location-estimation technology that uses ultrasound signals in the frequency band 18 to 22 kHz, which is above the normal range of hearing (<15 kHz) in human adults. This system can be used in environments that include many metal barriers. The developmental process included deriving stakeholder requirements, transforming system requirements, designing system architecture, and developing a prototype. The prototype WSMS was tested by applying it to H Company, a Korean S&OI. Use of the WSMS increased the productivity of workers and managers by reducing the cost of on-site patrols and handwritten input. As a result, the number of worker location information updates increased from 2/day to 20/min, and productivity increased by 30 min/day compared to the previous method. Therefore, shipyards that introduce worker-safety management systems may consider applying this method. Full article
(This article belongs to the Special Issue Smart Systems and Internet of Things (IoT))
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22 pages, 962 KiB  
Article
A Joint Optimization Strategy of Coverage Planning and Energy Scheduling for Wireless Rechargeable Sensor Networks
by Cheng Gong, Chao Guo, Haitao Xu, Chengcheng Zhou and Xiaotao Yuan
Processes 2020, 8(10), 1324; https://0-doi-org.brum.beds.ac.uk/10.3390/pr8101324 - 21 Oct 2020
Cited by 7 | Viewed by 1985
Abstract
Wireless Sensor Networks (WSNs) have the characteristics of large-scale deployment, flexible networking, and many applications. They are important parts of wireless communication networks. However, due to limited energy supply, the development of WSNs is greatly restricted. Wireless rechargeable sensor networks (WRSNs) transform the [...] Read more.
Wireless Sensor Networks (WSNs) have the characteristics of large-scale deployment, flexible networking, and many applications. They are important parts of wireless communication networks. However, due to limited energy supply, the development of WSNs is greatly restricted. Wireless rechargeable sensor networks (WRSNs) transform the distributed energy around the environment into usable electricity through energy collection technology. In this work, a two-phase scheme is proposed to improve the energy management efficiency for WRSNs. In the first phase, we designed an annulus virtual force based particle swarm optimization (AVFPSO) algorithm for area coverage. It adopts the multi-parameter joint optimization method to improve the efficiency of the algorithm. In the second phase, a queuing game-based energy supply (QGES) algorithm was designed. It converts energy supply and consumption into network service. By solving the game equilibrium of the model, the optimal energy distribution strategy can be obtained. The simulation results show that our scheme improves the efficiency of coverage and energy supply, and then extends the lifetime of WSN. Full article
(This article belongs to the Special Issue Smart Systems and Internet of Things (IoT))
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20 pages, 2471 KiB  
Article
Group Key Management Scheme for Multicast Communication Fog Computing Networks
by Mai Trung Dong and Haitao Xu
Processes 2020, 8(10), 1300; https://0-doi-org.brum.beds.ac.uk/10.3390/pr8101300 - 16 Oct 2020
Cited by 2 | Viewed by 2383
Abstract
In group key management, the implementation of encryption often fails because multicast communication does not provide reliable linkage. In this paper, a new group key management scheme is proposed for multicast communication in fog computing networks. In the proposed scheme, any legal fog [...] Read more.
In group key management, the implementation of encryption often fails because multicast communication does not provide reliable linkage. In this paper, a new group key management scheme is proposed for multicast communication in fog computing networks. In the proposed scheme, any legal fog user belonging to a fog node will be able to decrypt a ciphertext encrypted by a secret shared key. The shared secret key is divided into key segments. In the rekeying operation process, each key segment is split into two factors with its shared production mechanism. The key updates are required to belong to the fog provider or the group management device. Fog users will have independent key segments unchanged. Then, the cost, the message of rekeying, and the dependence on credible channels will be decreased. This method can resist collusion attacks and ensure backward security and forward security, even if the number of users leaving is larger than the threshold value. Our scheme is also suitable for untrusted affiliate networks. Full article
(This article belongs to the Special Issue Smart Systems and Internet of Things (IoT))
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