Advanced Wireless Sensor Networks: Applications, Challenges and Research Trends, 2nd Edition

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".

Deadline for manuscript submissions: 15 May 2025 | Viewed by 3169

Special Issue Editors


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Guest Editor
Department of Electrical and Electronics Engineering, University of West Attica, 12244 Athens, Greece
Interests: automatic control and automation methodologies and systems; algorithmic study of wireless sensor networks in terms of energy efficiency, congestion avoidance, coverage maximization, and multiobjective optimization
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Special Issue Information

Dear Colleagues,

The ability of wireless sensor networks (WSNs) to support a practically endless variety of human activities places them among the most rapidly developing domains of technology, with a continuously growing range of applications.

On the other hand, the utilization of WSNs is obstructed not only because of the limited resources of sensor nodes in terms of energy supply, memory and processing, but also due to the inherent restrictions of wireless communications regarding power, speed, and the capacity of communication channels and their vulnerability to interferences and intrusion. Thus, numerous challenges arise within the subject of WSNs.

At the same time, emerging advances in various sectors of science and technology seem to be promising to support and enhance the operation of WSNs, thus triggering corresponding research trends.

This Special Issue aims to support research works related to the state of the art, standards, experimentations, implementations, applications, new research proposals and case studies regarding WSNs. Invited papers must be original and not published or under review in any other conference or journal. Potential topics of this Special Issue include, but are not limited to, the following:

  • WSN applications;
  • WSNs for IoT;
  • WSNs for Industry 4.0;
  • Hardware platforms for WSNs;
  • Energy sustainability in WSNs;
  • Edge computing in WSNs;
  • Energy harvesting in WSNs;
  • Wireless energy transfer in WSNs;
  • Computational intelligence for WSNs;
  • Energy efficiency in WSNs;
  • Congestion avoidance and control in WSNs;
  • Connectivity maintenance in WSNs;
  • Coverage maximization in WSNs;
  • Multi-objective optimization in WSNs;
  • Routing protocols for WSNs;
  • Context awareness in WSNs;
  • Security and privacy in WSNs;
  • QoS in WSNs;
  • Data management in WSNs.

Prof. Dr. Dionisis Kandris
Dr. Eleftherios Anastasiadis
Guest Editors

Manuscript Submission Information

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Keywords

  • wireless sensor networks
  • applications
  • challenges
  • research trends

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Related Special Issue

Published Papers (2 papers)

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Research

19 pages, 1668 KiB  
Article
Optimized Decode-and-Forward Multirelay Selection and Power Allocation in Cooperative Wireless Networks
by Duanrong Yang, Yongbin Cai, Yang Li, Xia Jin and Jianrong Bao
Electronics 2024, 13(17), 3541; https://doi.org/10.3390/electronics13173541 - 6 Sep 2024
Viewed by 624
Abstract
To combat the high outage probability, high complexity calculation, and low resource utilization rate of collaborative communications, an optimal decode-and-forward (DF) multirelay selection and power allocation is proposed in cooperative wireless sensor networks. It is suitable for cooperative communications equipped with a large [...] Read more.
To combat the high outage probability, high complexity calculation, and low resource utilization rate of collaborative communications, an optimal decode-and-forward (DF) multirelay selection and power allocation is proposed in cooperative wireless sensor networks. It is suitable for cooperative communications equipped with a large number of relay nodes. It uses the Lagrange multiplier method to perform the power pre-distribution of the source nodes and all relay nodes before the relay selection. In addition, it also optimally exploits the power of the distributed source and relay nodes according to statistics channel status information (CSI). By optimizing the selection of the multirelay nodes and the allocation of the power with the water-filling algorithm, the proposed scheme totally exploits the whole power to greatly reduce the resource waste. Especially, it chooses an optimal relay node in cooperative communications without a large number of instantaneous channel information, and it only need to arrange the relay nodes according to the increase in the equivalent channel gain order for the optimal relay node collection at the proper signal-to-noise ratios (SNRs). Simulation results show that the outage probability of the scheme outperforms those of the existing single selective decode-and-forward (SDF) counterparts by about 2.1 dB at an outage probability of 102. Full article
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18 pages, 1943 KiB  
Article
Matter Protocol Integration Using Espressif’s Solutions to Achieve Smart Home Interoperability
by Afonso Mota, Carlos Serôdio and António Valente
Electronics 2024, 13(11), 2217; https://doi.org/10.3390/electronics13112217 - 6 Jun 2024
Viewed by 2058
Abstract
Smart home devices are becoming more popular over the years. A diverse range of appliances is being created, and Ambient Intelligence is growing in homes. However, there are various producers of these gadgets, different kinds of protocols, and diverse environments. The lack of [...] Read more.
Smart home devices are becoming more popular over the years. A diverse range of appliances is being created, and Ambient Intelligence is growing in homes. However, there are various producers of these gadgets, different kinds of protocols, and diverse environments. The lack of interoperability reduces comfort of the user and turns into a barrier to smart home adoption. Matter is growing by constructing an open-source application layer protocol that can be compatible with all smart home ecosystems. In this article, a Matter overview is provided (namely, of the Commissioning stage), and a Matter Accessory using ESP32-S3 is developed referring to the manufacturer’s SDKs and is inserted into an existent household ecosystem. Its behavior on the network is briefly analyzed, and interactions with the device are carried out. The simplicity of these tasks demonstrates accessibility for developers to create products, especially when it comes to firmware. Additionally, device commissioning and control are straightforward for the consumer. This capacity of gadget incorporation into diverse ecosystems using Matter is already on the market and might result in higher device production and enhanced smart home adoption. Full article
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