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Optimization technique based on cluster head selection algorithm for 5G-enabled IoMT smart healthcare framework for industry

5G mobile communication systems; Cluster analysis; Energy efficiency; Health care; Low power electronics; Medical applications; Network architecture; 'current; Cluster-head selections; Healthcare infrastructure; Internet of medical thing; Lower energies; Medical Devices; Optimization techniques...

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Main Authors: Jaaz Z.A., Ansari M.D., Josephng P.S., Gheni H.M.
Other Authors: 57210340202
Format: Article
Published: De Gruyter Open Ltd 2023
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spelling my.uniten.dspace-270772023-05-29T17:39:20Z Optimization technique based on cluster head selection algorithm for 5G-enabled IoMT smart healthcare framework for industry Jaaz Z.A. Ansari M.D. Josephng P.S. Gheni H.M. 57210340202 37050604600 57046066800 57210428348 5G mobile communication systems; Cluster analysis; Energy efficiency; Health care; Low power electronics; Medical applications; Network architecture; 'current; Cluster-head selections; Healthcare infrastructure; Internet of medical thing; Lower energies; Medical Devices; Optimization techniques; Selection algorithm; Wireless communications networks; WOWF-CHSA; Energy utilization Internet of medical things (IoMT) communication has become an increasingly important component of 5G wireless communication networks in healthcare as a result of the rapid proliferation of IoMT devices. Under current network architecture, widespread access to IoMT devices causes system overload and low energy efficiency. 5G-based IoMT systems aim to protect healthcare infrastructure and medical device functionality for longer. Therefore, using energy-efficient communication protocols is essential for enhancing QoS in IoMT systems. Several methods have been developed recently to improve IoMT QoS; however, clustering is more popular because it provides energy efficiency for medical applications. The primary drawback of the existing clustering technique is that their communication model does not take into account the chance of packet loss, which results in unreliable communication and drains the energy of medical nodes. In this study, we concentrated on designing a clustering model named Whale optimized weighted fuzzy-based cluster head selection algorithm to facilitate successful communication for IoMT-based systems. The experimental study shows that the proposed strategy performs better in terms of QoS than compared approaches. Inferring from this, the proposed method not only reduces energy consumption levels of 5G-based IoMT systems but also uniformly distributes cluster-head over a network to improve QoS. � 2022 Zahraa A. Jaaz et al., published by De Gruyter. Final 2023-05-29T09:39:20Z 2023-05-29T09:39:20Z 2022 Article 10.1515/pjbr-2022-0101 2-s2.0-85141645127 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141645127&doi=10.1515%2fpjbr-2022-0101&partnerID=40&md5=4965cc6f1e027a29bf5f081126ce9404 https://irepository.uniten.edu.my/handle/123456789/27077 13 1 99 109 All Open Access, Gold De Gruyter Open Ltd Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description 5G mobile communication systems; Cluster analysis; Energy efficiency; Health care; Low power electronics; Medical applications; Network architecture; 'current; Cluster-head selections; Healthcare infrastructure; Internet of medical thing; Lower energies; Medical Devices; Optimization techniques; Selection algorithm; Wireless communications networks; WOWF-CHSA; Energy utilization
author2 57210340202
author_facet 57210340202
Jaaz Z.A.
Ansari M.D.
Josephng P.S.
Gheni H.M.
format Article
author Jaaz Z.A.
Ansari M.D.
Josephng P.S.
Gheni H.M.
spellingShingle Jaaz Z.A.
Ansari M.D.
Josephng P.S.
Gheni H.M.
Optimization technique based on cluster head selection algorithm for 5G-enabled IoMT smart healthcare framework for industry
author_sort Jaaz Z.A.
title Optimization technique based on cluster head selection algorithm for 5G-enabled IoMT smart healthcare framework for industry
title_short Optimization technique based on cluster head selection algorithm for 5G-enabled IoMT smart healthcare framework for industry
title_full Optimization technique based on cluster head selection algorithm for 5G-enabled IoMT smart healthcare framework for industry
title_fullStr Optimization technique based on cluster head selection algorithm for 5G-enabled IoMT smart healthcare framework for industry
title_full_unstemmed Optimization technique based on cluster head selection algorithm for 5G-enabled IoMT smart healthcare framework for industry
title_sort optimization technique based on cluster head selection algorithm for 5g-enabled iomt smart healthcare framework for industry
publisher De Gruyter Open Ltd
publishDate 2023
_version_ 1806424042812473344
score 13.188404

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