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

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dc.citedby2
dc.contributor.authorJaaz Z.A.en_US
dc.contributor.authorAnsari M.D.en_US
dc.contributor.authorJosephng P.S.en_US
dc.contributor.authorGheni H.M.en_US
dc.contributor.authorid57210340202en_US
dc.contributor.authorid37050604600en_US
dc.contributor.authorid57046066800en_US
dc.contributor.authorid57210428348en_US
dc.date.accessioned2023-05-29T09:39:20Z
dc.date.available2023-05-29T09:39:20Z
dc.date.issued2022
dc.description5G 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 utilizationen_US
dc.description.abstractInternet 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.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1515/pjbr-2022-0101
dc.identifier.epage109
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85141645127
dc.identifier.spage99
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85141645127&doi=10.1515%2fpjbr-2022-0101&partnerID=40&md5=4965cc6f1e027a29bf5f081126ce9404
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/27077
dc.identifier.volume13
dc.publisherDe Gruyter Open Ltden_US
dc.relation.ispartofAll Open Access, Gold
dc.sourceScopus
dc.sourcetitlePaladyn
dc.titleOptimization technique based on cluster head selection algorithm for 5G-enabled IoMT smart healthcare framework for industryen_US
dc.typeArticleen_US
dspace.entity.typePublication
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