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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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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. |
format | Online Article Text |
id | pubmed-9005267 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
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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