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Wireless Communication Systems and Sensor Networks

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A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Communications".

Deadline for manuscript submissions: closed (31 August 2023) | Viewed by 4067

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Special Issue Editors

Dr. Sushil Kumar

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Guest Editor

School of Computer & Systems Sciences, Jawaharlal Nehru University, New Delhi 110067, India
Interests: ad hoc and sensors; networks; Internet of Things; cybersecurity; blockchain; green computing; machine/deep learning
Special Issues, Collections and Topics in MDPI journals

Dr. Omprakash Kaiwartya

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Guest Editor

School of Science and Technology, Nottingham Trent University, Nottingham NG11 8NS, UK
Interests: green computing; Internet of Things; wireless sensor networks; internet of connected vehicles; heterogeneous networking; electronic vehicle charging infrastructure
Special Issues, Collections and Topics in MDPI journals

Dr. Upasana Dohare

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Guest Editor

School of Computing Science & Engineering, Galgotias University, Greater Noida, India
Interests: ad hoc and sensor networks; Internet of Things; cybersecurity; green computing; machine/deep learning

Special Issue Information

Dear Colleagues,

Wireless communication systems and the growing number of sensor-enabled things offer context-aware data and mobile and personalized services with near real-time connectivity in an ever-increasing smart society. At the same time, such wireless communication systems and sensor-enabled things bring several potential challenges in their design and development methods and protocols. Novel network model architectures, the integration of wireless information and power transfer, wireless access techniques, routing algorithms and resource and spectrum utilization, future generation wireless communication systems and sensor networks should be able to efficiently support a unified and ubiquitous cyber-physical infrastructure for a variety of diverse applications, while keeping energy efficiency and security as well as secrecy/privacy concerns in mind. Moreover, these wireless systems support the massive connectivity demand when it comes to connecting smart Internet of Things (IoT) devices and the usage of IoT data, empowering consumers with the innovation and enhancement of their lives, healthcare and mobility in business, cities and society as a whole. To support diverse kinds of advanced IoT applications, low latency and energy efficiency are paramount issues requiring solutions in wireless communication systems. Therefore, we welcome the submission of unpublished and original research works related to the theme of ‘Wireless Communication Systems and Sensor Networks’.

Dr. Sushil Kumar
Dr. Omprakash Kaiwartya
Dr. Upasana Dohare
Guest Editors

Manuscript Submission Information

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Keywords

efficient cross-layer protocols for wireless sensor networks
network architecture for wireless communication systems
resource and spectrum utilization in wireless communication systems
routing design for ad hoc and sensor networks
sensor network optimization/management and analytical modeling
energy-efficient coverage and connectivity models for sensor networks
very high energy-efficient solutions for sensor-driven IoT
efficient MCA protocols for future generations of wireless communication systems
security and privacy frameworks for IoT
light-weight security/trust evaluation schemes for wireless communication systems
machine-learning- and deep-learning-driven models for security in wireless communication systems and sensor networks
energy optimization in IoT using intelligent learning techniques
cooperative localization for vehicular networks
predictive performance modelling for ad hoc, sensor and ubiquitous networks
simulation-method- and testbed-based-evolution for IoT systems
applications and case studies for future generations of wireless communication systems/sensor networks/IoT
sensor-assisted intelligent things for social goods

Published Papers (3 papers)

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Research

23 pages, 2892 KiB

Open AccessArticle

Multiple Mobile Sinks for Quality of Service Improvement in Large-Scale Wireless Sensor Networks

by Abdelbari Ben Yagouta, Bechir Ben Gouissem, Sami Mnasri, Mansoor Alghamdi, Malek Alrashidi, Majed Abdullah Alrowaily, Ibrahim Alkhazi, Rahma Gantassi and Salem Hasnaoui

Sensors 2023, 23(20), 8534; https://doi.org/10.3390/s23208534 - 18 Oct 2023

Viewed by 1147

Abstract

The involvement of wireless sensor networks in large-scale real-time applications is exponentially growing. These applications can range from hazardous area supervision to military applications. In such critical contexts, the simultaneous improvement of the quality of service and the network lifetime represents a big challenge. To meet these requirements, using multiple mobile sinks can be a key solution to accommodate the variations that may affect the network. Recent studies were based on predefined mobility models for sinks and relied on multi-hop routing techniques. Besides, most of these studies focused only on improving energy consumption without considering QoS metrics. In this paper, multiple mobile sinks with random mobile models are used to establish a tradeoff between power consumption and the quality of service. The simulation results show that using hierarchical data routing with random mobile sinks represents an efficient method to balance the distribution of the energy levels of nodes and to reduce the overall power consumption. Moreover, it is proven that the proposed routing methods allow for minimizing the latency of the transmitted data, increasing the reliability, and improving the throughput of the received data compared to recent works, which are based on predefined trajectories of mobile sinks and multi-hop architectures. Full article

(This article belongs to the Special Issue Wireless Communication Systems and Sensor Networks)

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17 pages, 2441 KiB

Open AccessArticle

Enhanced Pelican Optimization Algorithm for Cluster Head Selection in Heterogeneous Wireless Sensor Networks

by Zhen Wang, Jin Duan, Haobo Xu, Xue Song and Yang Yang

Sensors 2023, 23(18), 7711; https://doi.org/10.3390/s23187711 - 06 Sep 2023

Cited by 2 | Viewed by 956

Abstract

In the research of heterogeneous wireless sensor networks, clustering is one of the most commonly used energy-saving methods. However, existing clustering methods face challenges when applied to heterogeneous wireless sensor networks, such as energy balance, node heterogeneity, algorithm efficiency, and more. Among these challenges, a well-designed clustering approach can lead to extended node lifetimes. Efficient selection of cluster heads is crucial for achieving optimal clustering. In this paper, we propose an Enhanced Pelican Optimization Algorithm for Cluster Head Selection (EPOA-CHS) to address these issues and enhance cluster head selection for optimal clustering. This method combines the Levy flight process with the traditional POA algorithm, which not only improves the optimization level of the algorithm, but also ensures the selection of the optimal cluster head. The logistic-sine chaotic mapping method is used in the population initialization, and the appropriate cluster head is selected through the new fitness function. Finally, we utilized MATLAB to simulate 100 sensor nodes within a configured area of 100 × 100 m

^{2}

. These nodes were categorized into four heterogeneous scenarios:

m = 0, α = 0

m = 0.1, α = 2

m = 0.2, α = 3

, and

m = 0.3, α = 1.5

. We conducted verification for four aspects: total residual energy, network survival time, number of surviving nodes, and network throughput, across all protocols. Extensive experimental research ultimately indicates that the EPOA-CHS method outperforms the SEP, DEEC, Z-SEP, and PSO-ECSM protocols in these aspects. Full article

(This article belongs to the Special Issue Wireless Communication Systems and Sensor Networks)

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34 pages, 4020 KiB

Open AccessArticle

A Novel Hybrid Harris Hawk-Arithmetic Optimization Algorithm for Industrial Wireless Mesh Networks

by P. Arun Mozhi Devan, Rosdiazli Ibrahim, Madiah Omar, Kishore Bingi and Hakim Abdulrab

Sensors 2023, 23(13), 6224; https://doi.org/10.3390/s23136224 - 07 Jul 2023

Cited by 5 | Viewed by 1107

Abstract

A novel hybrid Harris Hawk-Arithmetic Optimization Algorithm (HHAOA) for optimizing the Industrial Wireless Mesh Networks (WMNs) and real-time pressure process control was proposed in this research article. The proposed algorithm uses inspiration from Harris Hawk Optimization and the Arithmetic Optimization Algorithm to improve position relocation problems, premature convergence, and the poor accuracy the existing techniques face. The HHAOA algorithm was evaluated on various benchmark functions and compared with other optimization algorithms, namely Arithmetic Optimization Algorithm, Moth Flame Optimization, Sine Cosine Algorithm, Grey Wolf Optimization, and Harris Hawk Optimization. The proposed algorithm was also applied to a real-world industrial wireless mesh network simulation and experimentation on the real-time pressure process control system. All the results demonstrate that the HHAOA algorithm outperforms different algorithms regarding mean, standard deviation, convergence speed, accuracy, and robustness and improves client router connectivity and network congestion with a 31.7% reduction in Wireless Mesh Network routers. In the real-time pressure process, the HHAOA optimized Fractional-order Predictive PI (FOPPI) Controller produced a robust and smoother control signal leading to minimal peak overshoot and an average of a 53.244% faster settling. Based on the results, the algorithm enhanced the efficiency and reliability of industrial wireless networks and real-time pressure process control systems, which are critical for industrial automation and control applications. Full article

(This article belongs to the Special Issue Wireless Communication Systems and Sensor Networks)

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