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Electronics
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Wireless Sensor Network: Latest Advances and Prospects
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Wireless Sensor Network: Latest Advances and Prospects

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 4293

Special Issue Editor

Dr. Alexandra Bousia

E-Mail Website
Guest Editor
Department of Business Administration, University of Thessaly, 41500 Larissa, Greece
Interests: business intelligence; artificial intelligence; smart cities; energy efficiency
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent decades, there has been a tremendous growth in wireless sensor networks, especially due to the technological advancements and the challenges of Internet of Things (IoT). Wireless IoT devices can be flexibly deployed in the target region to sense and collect relevant information. Due to their flexibility, wireless sensor networks can be used in several applications, including smart cities, smart grid, health, agriculture, telecommunications, etc. Although the area of wireless sensor networks has been thoroughly examined in the literature, there are still a wide range of open issues and challenges regarding wireless sensor network applications. This Special Issue is aimed at addressing issues that are involved in connectivity, heterogeneity of infrastructure, data processing, management, energy waste, security, and privacy. This includes the following:

  • Wireless sensor networks and their applications;
  • Novel architectures, protocols, and algorithms for wireless sensor network applications;
  • Communication platforms and access technologies;
  • Theoretical modelling and frameworks for wireless sensor network applications;
  • Case studies, real solutions, designs, and implementations;
  • Resource allocation techniques;
  • Measurements and transmission in wireless networks;
  • Security and privacy frameworks for wireless sensor network applications;
  • Innovative techniques for wireless sensor network security applications;
  • Environmental challenges;
  • Solutions for smart transport and traffic;
  • Solutions for smart mobility and parking.

Dr. Alexandra Bousia
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. Electronics 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

  • wireless sensor networks
  • Internet of Things
  • network architectures and protocols
  • big data analysis
  • efficient communications

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Published Papers (4 papers)

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Research

21 pages, 1171 KiB  
Article
Statistical Analysis of the Sum of Double Random Variables for Security Applications in RIS-Assisted NOMA Networks with a Direct Link
by Sang-Quang Nguyen, Phuong T. Tran, Bui Vu Minh, Tran Trung Duy, Anh-Tu Le, Lubos Rejfek and Lam-Thanh Tu
Electronics 2025, 14(2), 392; https://doi.org/10.3390/electronics14020392 - 20 Jan 2025
Viewed by 946
Abstract
Next- generation wireless communications are projected to integrate reconfigurable intelligent surfaces (RISs) to perpetrate enhanced spectral and energy efficiencies. To quantify the performance of RIS-aided wireless networks, the statistics of a single random variable plus the sum of double random variables becomes a [...] Read more.
Next- generation wireless communications are projected to integrate reconfigurable intelligent surfaces (RISs) to perpetrate enhanced spectral and energy efficiencies. To quantify the performance of RIS-aided wireless networks, the statistics of a single random variable plus the sum of double random variables becomes a core approach to reflect how communication links from RISs improve wireless-based systems versus direct ones. With this in mind, the work applies the statistics of a single random variable plus the sum of double random variables in the secure performance of RIS-based non-orthogonal multi-access (NOMA) systems with the presence of untrusted users. We propose a new communication strategy by jointly considering NOMA encoding and RIS’s phase shift design to enhance the communication of legitimate nodes while degrading the channel capacity of untrusted elements but with sufficient power resources for signal recovery. Following that, we analyze and derive the closed-form expressions of the secrecy effective capacity (SEC) and secrecy outage probability (SOP). All analyses are supported by extensive Monte Carlo simulation outcomes, which facilitate an understanding of system communication behavior, such as the transmit signal-to-noise ratio, the number of RIS elements, the power allocation coefficients, the target data rate of the communication channels, and secure data rate. Finally, the results demonstrate that our proposed communication can be improved significantly with an increase in the number of RIS elements, irrespective of the presence of untrusted proximate or distant users. Full article
(This article belongs to the Special Issue Wireless Sensor Network: Latest Advances and Prospects)
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16 pages, 652 KiB  
Article
A Novel Architecture for Virtual Network Twin Deployment
by Amir Hossein Banisadr and Xavier Hesselbach
Electronics 2024, 13(24), 5045; https://doi.org/10.3390/electronics13245045 - 22 Dec 2024
Viewed by 597
Abstract
In this paper, a novel architecture is proposed that enhances network connectivity by combining network virtualization and the digital twin approach. A virtual network twin (VNT) framework is designed to emulate the behavior of the original network within a virtualized environment. This framework [...] Read more.
In this paper, a novel architecture is proposed that enhances network connectivity by combining network virtualization and the digital twin approach. A virtual network twin (VNT) framework is designed to emulate the behavior of the original network within a virtualized environment. This framework provides an enhanced connection experience for users, mirroring the performance of the original network while avoiding the limitations of previous methods such as Telnet, SSH, and VPN. By integrating the network virtualization approach and the concept of digital twins, this framework can improve network visibility, security, and robustness in real-time connectivity through appropriate communication protocols and artificial intelligence (AI) methods. The application of this proposal can significantly impact key areas such as medical applications, autonomous driving, and space communications. This paper introduces the VNT architecture; its core components; requirements; and evaluation metrics, such as the accuracy of the VNT. Full article
(This article belongs to the Special Issue Wireless Sensor Network: Latest Advances and Prospects)
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18 pages, 10134 KiB  
Article
A Novel Sensor Deployment Strategy Based on Probabilistic Perception for Industrial Wireless Sensor Network
by Xiaokai Liu, Fangmin Xu, Lina Ning, Yuhan Lv and Chenglin Zhao
Electronics 2024, 13(24), 4952; https://doi.org/10.3390/electronics13244952 - 16 Dec 2024
Viewed by 777
Abstract
The rapid development of Industrial Internet of Things (IIoT) technology has highlighted the critical role of wireless sensor networks in enabling intelligent production and equipment monitoring. Effective sensor deployment is essential for ensuring communication quality and transmission speed in IIoT environments. This paper [...] Read more.
The rapid development of Industrial Internet of Things (IIoT) technology has highlighted the critical role of wireless sensor networks in enabling intelligent production and equipment monitoring. Effective sensor deployment is essential for ensuring communication quality and transmission speed in IIoT environments. This paper presents a novel sensor deployment strategy that integrates four key metrics: deployment cost, energy consumption, network connectivity, and sensing probability. To address the challenges of multi-dimensional optimization, the proposed method normalizes these metrics and assigns appropriate weights based on their relative importance. A major innovation of this approach is the inclusion of larger-scale environmental obstacles, which enhances its adaptability to diverse industrial settings and specific deployment scenarios. Through a comprehensive set of simulation experiments across different scenarios, the proposed particle swarm/genetic hybrid algorithm demonstrates superior performance compared to existing methods, even surpassing 10% in performance. Specifically, it excels in optimizing the newly introduced network performance metric and significantly improves search convergence time, making it a highly efficient and effective solution for sensor network optimization in IIoT applications. Full article
(This article belongs to the Special Issue Wireless Sensor Network: Latest Advances and Prospects)
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25 pages, 1778 KiB  
Article
Efficient User Pairing and Resource Optimization for NOMA-OMA Switching Enabled Dynamic Urban Vehicular Networks
by Aravindh Balaraman, Shigeo Shioda, Yonggang Kim, Yohan Kim and Taewoon Kim
Electronics 2024, 13(23), 4834; https://doi.org/10.3390/electronics13234834 - 7 Dec 2024
Viewed by 935
Abstract
Vehicular communication is revolutionizing transportation by enhancing passenger experience and improving safety through seamless message exchanges with nearby vehicles and roadside units (RSUs). To accommodate the growing number of vehicles in dense urban traffic with limited channel availability, non-orthogonal multiple access (NOMA) is [...] Read more.
Vehicular communication is revolutionizing transportation by enhancing passenger experience and improving safety through seamless message exchanges with nearby vehicles and roadside units (RSUs). To accommodate the growing number of vehicles in dense urban traffic with limited channel availability, non-orthogonal multiple access (NOMA) is a promising solution due to its ability to improve spectral efficiency by sharing channels among multiple users. However, to completely leverage NOMA on mobile vehicular networks, a chain of operations and resources must be optimized, including vehicle user (VU) and RSU association, channel assignment, and optimal power control. In contrast, traditional orthogonal multiple access (OMA) allocates separate channels to users, simplifying management but falling short in high-density environments. Additionally, enabling NOMA-OMA switching can further enhance the system performance while significantly increasing the complexity of the optimization task. In this study, we propose an optimized framework to jointly utilize the power domain NOMA in a vehicular network, where dynamic NOMA-OMA switching is enabled, by integrating the optimization of vehicle-to-RSU association, channel assignment, NOMA-OMA switching, and transmit power allocation into a single solution. To handle the complexity of these operations, we also propose simplified formulations that make the solution practical for real-time applications. The proposed framework reduces total power consumption by up to 27% compared to Util&LB/opt, improves fairness in user association by 18%, and operates efficiently with minimal computational overhead. These findings highlight the potential of the proposed framework to enhance communication performance in dynamic, densely populated urban environments. Full article
(This article belongs to the Special Issue Wireless Sensor Network: Latest Advances and Prospects)
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