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An Adaptive Topology Management Scheme to Maintain Network Connectivity in Wireless Sensor Networks

The roots of Wireless Sensor Networks (WSNs) are tracked back to US military developments, and, currently, WSNs have paved their way into a vast domain of civil applications, especially environmental, critical infrastructure, habitat monitoring, etc. In the majority of these applications, WSNs have...

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Autores principales: Haq, Muhammad Zia Ul, Khan, Muhammad Zahid, Rehman, Haseeb Ur, Mehmood, Gulzar, Binmahfoudh, Ahmed, Krichen, Moez, Alroobaea, Roobaea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028011/
https://www.ncbi.nlm.nih.gov/pubmed/35458846
http://dx.doi.org/10.3390/s22082855
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author Haq, Muhammad Zia Ul
Khan, Muhammad Zahid
Rehman, Haseeb Ur
Mehmood, Gulzar
Binmahfoudh, Ahmed
Krichen, Moez
Alroobaea, Roobaea
author_facet Haq, Muhammad Zia Ul
Khan, Muhammad Zahid
Rehman, Haseeb Ur
Mehmood, Gulzar
Binmahfoudh, Ahmed
Krichen, Moez
Alroobaea, Roobaea
author_sort Haq, Muhammad Zia Ul
collection PubMed
description The roots of Wireless Sensor Networks (WSNs) are tracked back to US military developments, and, currently, WSNs have paved their way into a vast domain of civil applications, especially environmental, critical infrastructure, habitat monitoring, etc. In the majority of these applications, WSNs have been deployed to monitor critical and inaccessible terrains; however, due to their unique and resource-constrained nature, WSNs face many design and deployment challenges in these difficult-to-access working environments, including connectivity maintenance, topology management, reliability, etc. However, for WSNs, topology management and connectivity still remain a major concern in WSNs that hampers their operations, with a direct impact on the overall application performance of WSNs. To address this issue, in this paper, we propose a new topology management and connectivity maintenance scheme called a Tolerating Fault and Maintaining Network Connectivity using Array Antenna (ToMaCAA) for WSNs. ToMaCAA is a system designed to adapt to dynamic structures and maintain network connectivity while consuming fewer network resources. Thereafter, we incorporated a Phase Array Antenna into the existing topology management technologies, proving ToMaCAA to be a novel contribution. This new approach allows a node to connect to the farthest node in the network while conserving resources and energy. Moreover, data transmission is restricted to one route, reducing overheads and conserving energy in various other nodes’ idle listening state. For the implementation of ToMaCAA, the MATLAB network simulation platform has been used to test and analyse its performance. The output results were compared with the benchmark schemes, i.e., Disjoint Path Vector (DPV), Adaptive Disjoint Path Vector (ADPV), and Pickup Non-Critical Node Based k-Connectivity (PINC). The performance of ToMaCAA was evaluated based on different performance metrics, i.e., the network lifetime, total number of transmitted messages, and node failure in WSNs. The output results revealed that the ToMaCAA outperformed the DPV, ADPV, and PINC schemes in terms of maintaining network connectivity during link failures and made the network more fault-tolerant and reliable.
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spelling pubmed-90280112022-04-23 An Adaptive Topology Management Scheme to Maintain Network Connectivity in Wireless Sensor Networks Haq, Muhammad Zia Ul Khan, Muhammad Zahid Rehman, Haseeb Ur Mehmood, Gulzar Binmahfoudh, Ahmed Krichen, Moez Alroobaea, Roobaea Sensors (Basel) Article The roots of Wireless Sensor Networks (WSNs) are tracked back to US military developments, and, currently, WSNs have paved their way into a vast domain of civil applications, especially environmental, critical infrastructure, habitat monitoring, etc. In the majority of these applications, WSNs have been deployed to monitor critical and inaccessible terrains; however, due to their unique and resource-constrained nature, WSNs face many design and deployment challenges in these difficult-to-access working environments, including connectivity maintenance, topology management, reliability, etc. However, for WSNs, topology management and connectivity still remain a major concern in WSNs that hampers their operations, with a direct impact on the overall application performance of WSNs. To address this issue, in this paper, we propose a new topology management and connectivity maintenance scheme called a Tolerating Fault and Maintaining Network Connectivity using Array Antenna (ToMaCAA) for WSNs. ToMaCAA is a system designed to adapt to dynamic structures and maintain network connectivity while consuming fewer network resources. Thereafter, we incorporated a Phase Array Antenna into the existing topology management technologies, proving ToMaCAA to be a novel contribution. This new approach allows a node to connect to the farthest node in the network while conserving resources and energy. Moreover, data transmission is restricted to one route, reducing overheads and conserving energy in various other nodes’ idle listening state. For the implementation of ToMaCAA, the MATLAB network simulation platform has been used to test and analyse its performance. The output results were compared with the benchmark schemes, i.e., Disjoint Path Vector (DPV), Adaptive Disjoint Path Vector (ADPV), and Pickup Non-Critical Node Based k-Connectivity (PINC). The performance of ToMaCAA was evaluated based on different performance metrics, i.e., the network lifetime, total number of transmitted messages, and node failure in WSNs. The output results revealed that the ToMaCAA outperformed the DPV, ADPV, and PINC schemes in terms of maintaining network connectivity during link failures and made the network more fault-tolerant and reliable. MDPI 2022-04-08 /pmc/articles/PMC9028011/ /pubmed/35458846 http://dx.doi.org/10.3390/s22082855 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Haq, Muhammad Zia Ul
Khan, Muhammad Zahid
Rehman, Haseeb Ur
Mehmood, Gulzar
Binmahfoudh, Ahmed
Krichen, Moez
Alroobaea, Roobaea
An Adaptive Topology Management Scheme to Maintain Network Connectivity in Wireless Sensor Networks
title An Adaptive Topology Management Scheme to Maintain Network Connectivity in Wireless Sensor Networks
title_full An Adaptive Topology Management Scheme to Maintain Network Connectivity in Wireless Sensor Networks
title_fullStr An Adaptive Topology Management Scheme to Maintain Network Connectivity in Wireless Sensor Networks
title_full_unstemmed An Adaptive Topology Management Scheme to Maintain Network Connectivity in Wireless Sensor Networks
title_short An Adaptive Topology Management Scheme to Maintain Network Connectivity in Wireless Sensor Networks
title_sort adaptive topology management scheme to maintain network connectivity in wireless sensor networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028011/
https://www.ncbi.nlm.nih.gov/pubmed/35458846
http://dx.doi.org/10.3390/s22082855
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