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Energy-Efficient Cluster Formation in IoT-Enabled Wireless Body Area Network

Wireless sensor network is widely used in different IoT-enabled applications such as health care, underwater sensor networks, body area networks, and various offices. A sensor node may face operational difficulties due to low computing capacity. Moreover, mobility has become an open challenge in the...

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Autores principales: Zeb, Asim, Wakeel, Sonia, Rahman, Taj, Khan, Inayat, Uddin, M. Irfan, Niazi, Badam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005267/
https://www.ncbi.nlm.nih.gov/pubmed/35422851
http://dx.doi.org/10.1155/2022/2558590
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author Zeb, Asim
Wakeel, Sonia
Rahman, Taj
Khan, Inayat
Uddin, M. Irfan
Niazi, Badam
author_facet Zeb, Asim
Wakeel, Sonia
Rahman, Taj
Khan, Inayat
Uddin, M. Irfan
Niazi, Badam
author_sort Zeb, Asim
collection PubMed
description Wireless sensor network is widely used in different IoT-enabled applications such as health care, underwater sensor networks, body area networks, and various offices. A sensor node may face operational difficulties due to low computing capacity. Moreover, mobility has become an open challenge in the healthcare wireless body area network that is highly affected by message loss due to topological manipulation. In this article, an enhanced version of the well-known algorithm MT-MAC is proposed, namely DT-MAC, to ensure successful message delivery. It considers node handover mechanism among virtual clusters to ensure network integrity and also uses the concept of minimum connected dominating set for network formation to achieve efficient energy utilization. It is then compared with well-known algorithms such as MT-MAC. The simulation results show that an increase in little latency of roughly 3 percent in using the proposed protocol improves the MT-MAC's packet delivery by 13–17 percent and the response time by around 15 percent. Therefore, the algorithm is best fitted for real-time applications where the high packet delivery and response time are required.
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spelling pubmed-90052672022-04-13 Energy-Efficient Cluster Formation in IoT-Enabled Wireless Body Area Network Zeb, Asim Wakeel, Sonia Rahman, Taj Khan, Inayat Uddin, M. Irfan Niazi, Badam Comput Intell Neurosci Research Article Wireless sensor network is widely used in different IoT-enabled applications such as health care, underwater sensor networks, body area networks, and various offices. A sensor node may face operational difficulties due to low computing capacity. Moreover, mobility has become an open challenge in the healthcare wireless body area network that is highly affected by message loss due to topological manipulation. In this article, an enhanced version of the well-known algorithm MT-MAC is proposed, namely DT-MAC, to ensure successful message delivery. It considers node handover mechanism among virtual clusters to ensure network integrity and also uses the concept of minimum connected dominating set for network formation to achieve efficient energy utilization. It is then compared with well-known algorithms such as MT-MAC. The simulation results show that an increase in little latency of roughly 3 percent in using the proposed protocol improves the MT-MAC's packet delivery by 13–17 percent and the response time by around 15 percent. Therefore, the algorithm is best fitted for real-time applications where the high packet delivery and response time are required. Hindawi 2022-04-05 /pmc/articles/PMC9005267/ /pubmed/35422851 http://dx.doi.org/10.1155/2022/2558590 Text en Copyright © 2022 Asim Zeb et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zeb, Asim
Wakeel, Sonia
Rahman, Taj
Khan, Inayat
Uddin, M. Irfan
Niazi, Badam
Energy-Efficient Cluster Formation in IoT-Enabled Wireless Body Area Network
title Energy-Efficient Cluster Formation in IoT-Enabled Wireless Body Area Network
title_full Energy-Efficient Cluster Formation in IoT-Enabled Wireless Body Area Network
title_fullStr Energy-Efficient Cluster Formation in IoT-Enabled Wireless Body Area Network
title_full_unstemmed Energy-Efficient Cluster Formation in IoT-Enabled Wireless Body Area Network
title_short Energy-Efficient Cluster Formation in IoT-Enabled Wireless Body Area Network
title_sort energy-efficient cluster formation in iot-enabled wireless body area network
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005267/
https://www.ncbi.nlm.nih.gov/pubmed/35422851
http://dx.doi.org/10.1155/2022/2558590
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