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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.<\/jats:p>","DOI":"10.1515\/pjbr-2022-0101","type":"journal-article","created":{"date-parts":[[2022,11,4]],"date-time":"2022-11-04T08:47:49Z","timestamp":1667551669000},"page":"99-109","source":"Crossref","is-referenced-by-count":20,"title":["Optimization technique based on cluster head selection algorithm for 5G-enabled IoMT smart healthcare framework for industry"],"prefix":"10.1515","volume":"13","author":[{"given":"Zahraa A.","family":"Jaaz","sequence":"first","affiliation":[{"name":"Computer Department, College of Science, AlNahrain University, Jadriya , Baghdad , Iraq"},{"name":"College of Computing and Informatics, Universiti Tenaga Nasional (UNITEN) , Kajang, Selangor , Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohd Dilshad","family":"Ansari","sequence":"additional","affiliation":[{"name":"CMR College of Engineering & Technology , Hyderabad , India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"P. S.","family":"JosephNg","sequence":"additional","affiliation":[{"name":"Faculty of Data Science & Information Technology, INTI International University, Persiaran Perdana BBN , 71800 Nilai , Negeri Sembilan , Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hassan Muwafaq","family":"Gheni","sequence":"additional","affiliation":[{"name":"Computer Techniques Engineering Department, Al-Mustaqbal University College , Hillah 51001 , Iraq"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"374","published-online":{"date-parts":[[2022,11,4]]},"reference":[{"key":"2022110408474096471_j_pjbr-2022-0101_ref_001","doi-asserted-by":"crossref","unstructured":"T. M. Ghazal, \u201cPositioning of UAV base stations using 5G and beyond networks for IoMT applications,\u201d Arab. J. Sci. Eng, vol. 101, pp. 1\u20132, 2021 Aug 4. 10.1007\/s13369-021-05985-x.","DOI":"10.1007\/s13369-021-05985-x"},{"key":"2022110408474096471_j_pjbr-2022-0101_ref_002","doi-asserted-by":"crossref","unstructured":"N. Dilawar, M. Rizwan, F. Ahmad, and S. Akram, \u201cBlockchain: Securing internet of medical things (IoMT),\u201d Int. J. Adv. Comput. Sci. Appl, vol. 10, no. 1, pp. 82\u201389, 2019. 10.14569\/ijacsa.2019.0100110.","DOI":"10.14569\/IJACSA.2019.0100110"},{"key":"2022110408474096471_j_pjbr-2022-0101_ref_003","doi-asserted-by":"crossref","unstructured":"Y. Niu, S. Nazeri, W. Hashim, A. A. Alkahtani, and H. R. Abdulshaheed, \u201cA survey on short-range WBAN communication; technical overview of several standard wireless technologies,\u201d Period. Eng. Nat. Sci., vol. 9, no. 4, pp. 877\u2013885, 2021.","DOI":"10.21533\/pen.v9i4.2444"},{"key":"2022110408474096471_j_pjbr-2022-0101_ref_004","doi-asserted-by":"crossref","unstructured":"D. K. Anguraj, K. Thirugnanasambandam, R. RS, and S. SV, \u201cEnriched cluster head selection using augmented bifold cuckoo search algorithm for edge-based internet of medical things,\u201d Int. J. Commun. Syst., vol. 34, no. 9, pp. 1\u201313, 2021 Apr 7. 10.1002\/dac.4817.","DOI":"10.1002\/dac.4817"},{"key":"2022110408474096471_j_pjbr-2022-0101_ref_005","doi-asserted-by":"crossref","unstructured":"F. Alsubaei, A. Abuhussein, V. Shandilya, and S. Shiva, \u201cIoMT-SAF: Internet of medical things security assessment framework,\u201d Internet Things, vol. 8, p. 100123, 2019 Dec. 10.1016\/j.iot.2019.100123.","DOI":"10.1016\/j.iot.2019.100123"},{"key":"2022110408474096471_j_pjbr-2022-0101_ref_006","doi-asserted-by":"crossref","unstructured":"G. Husnain and S. Anwar, An intelligent cluster optimization algorithm based on Whale Optimization Algorithm for VANETs (WOACNET), PLOS ONE, vol. 16, no. 4, 2021 Apr 21, p. e0250271. 10.1371\/journal.pone.0250271.","DOI":"10.1371\/journal.pone.0250271"},{"key":"2022110408474096471_j_pjbr-2022-0101_ref_007","doi-asserted-by":"crossref","unstructured":"S. Tiwari and N. Sharma, \u201cIdea, architecture, and applications of 5G enabled IoMT systems for smart health care system,\u201d ECS Trans, vol. 107, no. 1, pp. 5499\u20135508, 2022 Apr 24. 10.1149\/10701.5499ecst.","DOI":"10.1149\/10701.5499ecst"},{"key":"2022110408474096471_j_pjbr-2022-0101_ref_008","doi-asserted-by":"crossref","unstructured":"N. Rana, M. S. A. Latiff, S. M. Abdulhamid, and H. Chiroma, \u201cWhale optimization algorithm: A systematic review of contemporary applications, modifications and developments,\u201d Neural Comput. Appl, vol. 32, no. 20, pp. 16245\u201316277, 2020 Mar 30. 10.1007\/s00521-020-04849-z.","DOI":"10.1007\/s00521-020-04849-z"},{"key":"2022110408474096471_j_pjbr-2022-0101_ref_009","doi-asserted-by":"crossref","unstructured":"T. Han, L. Zhang, S. Pirbhulal, W. Wu, and V. H. C. de Albuquerque, \u201cA novel cluster head selection technique for edge-computing based IoMT systems,\u201d Comput. Netw., vol. 158, pp. 114\u2013122, 2019 Jul. 10.1016\/j.comnet.2019.04.021.","DOI":"10.1016\/j.comnet.2019.04.021"},{"key":"2022110408474096471_j_pjbr-2022-0101_ref_010","doi-asserted-by":"crossref","unstructured":"D. Singh, A. K. Maurya, R. K. Dewang, and N. Keshari, \u201cA review on Internet of Multimedia Things (IoMT) routing protocols and quality of service,\u201d Internet Multimed. Things (IoMT), pp. 1\u201329, 2022. 10.1016\/b978-0-32-385845-8.00006-x.","DOI":"10.1016\/B978-0-32-385845-8.00006-X"},{"key":"2022110408474096471_j_pjbr-2022-0101_ref_011","doi-asserted-by":"crossref","unstructured":"M. Papaioannou, M. Karageorgou, G. Mantas, V. Sucasas, I. Essop, J. Rodriguez, et al., \u201cA survey on security threats and countermeasures in internet of medical things (IoMT),\u201d Trans. Emerg. Telecommun. Technol., vol. 33, no. 6, pp. 1\u201313, 2020 Jul 23. 10.1002\/ett.4049.","DOI":"10.1002\/ett.4049"},{"key":"2022110408474096471_j_pjbr-2022-0101_ref_012","doi-asserted-by":"crossref","unstructured":"V. Sellam, N. Kannan, and H. A. Basha, \u201cAn effective fuzzy logic based clustering scheme for edge-computing based internet of medical things systems,\u201d Stud. Syst. Decis. Control, vol. 113, pp. 105\u2013116, 2020 Oct 20. 10.1007\/978-3-030-55833-8_6.","DOI":"10.1007\/978-3-030-55833-8_6"},{"key":"2022110408474096471_j_pjbr-2022-0101_ref_013","doi-asserted-by":"crossref","unstructured":"J. Srivastava, S. Routray, S. Ahmad, and M. M. Waris, \u201cInternet of medical things (IoMT)-based smart healthcare system: Trends and progress,\u201d Comput. Intell. Neurosci., vol. 2022, pp. 1\u201317, 2022 Jul 16. 10.1155\/2022\/7218113.","DOI":"10.1155\/2022\/7218113"},{"key":"2022110408474096471_j_pjbr-2022-0101_ref_014","doi-asserted-by":"crossref","unstructured":"Z. A. Jaaz, I. Y. Khudhair, H. S. Mehdy, and I. 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Intell., vol. 36, no. 4, pp. 1737\u20131754, 2020.","DOI":"10.1111\/coin.12319"},{"key":"2022110408474096471_j_pjbr-2022-0101_ref_017","doi-asserted-by":"crossref","unstructured":"S. R. Valayapalayam Kittusamy, M. Elhoseny, and S. Kathiresan, \u201cAn enhanced whale optimization algorithm for vehicular communication networks,\u201d Int. J. Commun. Syst., vol. 35, no. 12, p. e3953, 2019.","DOI":"10.1002\/dac.3953"},{"key":"2022110408474096471_j_pjbr-2022-0101_ref_018","doi-asserted-by":"crossref","unstructured":"I. Al Barazanchi, W. Hashim, A. A. Alkahtani, H. H. Abbas, and H. R. Abdulshaheed, Overview of WBAN from literature survey to application implementation, 2021 8th Int Conf Electr Eng Comput Sci Informatics, 2021, pp. 16\u201321.","DOI":"10.23919\/EECSI53397.2021.9624301"},{"key":"2022110408474096471_j_pjbr-2022-0101_ref_019","doi-asserted-by":"crossref","unstructured":"S. S. Oleiwi, G. N. Mohammed, and I. Al-Barazanchi, \u201cMitigation of packet loss with end-to-end delay in wireless body area network applications,\u201d Int. J. Electr. Comput. Eng., vol. 12, no. 1, pp. 460\u2013470, 2022.","DOI":"10.11591\/ijece.v12i1.pp460-470"},{"key":"2022110408474096471_j_pjbr-2022-0101_ref_020","doi-asserted-by":"crossref","unstructured":"H. R. Abdulshaheed, Z. T. Yaseen, A. M. Salman, and I. Al-Barazanchi, \u201cA survey on the use of WiMAX and Wi-Fi on vehicular ad-hoc networks (VANETs),\u201d IOP Conf. Ser. Mater. Sci. Eng., vol. 870, no. 1, 2020, p. 012122.","DOI":"10.1088\/1757-899X\/870\/1\/012122"},{"key":"2022110408474096471_j_pjbr-2022-0101_ref_021","doi-asserted-by":"crossref","unstructured":"M. H. Ali, A. Ibrahim, H. Wahbah, and I. Al_Barazanchi, \u201cSurvey on encode biometric data for transmission in wireless communication networks,\u201d Period. Eng. Nat. Sci., vol. 9, no. 4, pp. 1038\u20131055, 2021.","DOI":"10.21533\/pen.v9i4.2570"},{"key":"2022110408474096471_j_pjbr-2022-0101_ref_022","doi-asserted-by":"crossref","unstructured":"P. Rana, P. K. Gupta, and V. Sharma, \u201cA novel deep learning-based whale optimization algorithm for prediction of breast cancer,\u201d Braz. Arch. Biol. Technol., vol. 110, p. 64, 2021. http:\/\/www.scielo.br\/scielo.php?script=sci_arttext&pid=S1516-89132021000100602&tlng=en.","DOI":"10.1590\/1678-4324-2021200221"},{"key":"2022110408474096471_j_pjbr-2022-0101_ref_023","doi-asserted-by":"crossref","unstructured":"R. Tandon and P. K. Gupta, \u201cSecurity and privacy challenges in healthcare using Internet of Things,\u201d in IoT-Based Data Analytics for the Healthcare Industry, S.K. Singh, R.S. Singh, A.K. Pandey, S.S. Udmale, and A. Chaudhary (Eds.), Cambridge (MA): Academic Press, 2021, pp. 149\u201365. https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/B9780128214725000107.","DOI":"10.1016\/B978-0-12-821472-5.00010-7"},{"key":"2022110408474096471_j_pjbr-2022-0101_ref_024","doi-asserted-by":"crossref","unstructured":"I. Al-Barazanchi, W. Hashim, A. Ahmed Alkahtani, H. Rasheed Abdulshaheed, H. Muwafaq Gheni, A. Murthy, et al., \u201cRemote monitoring of COVID-19 patients using multisensor body area network innovative system,\u201d Comput. Intell. Neurosci., vol. 2022, pp. 1\u201314, 2022 Sep 15. https:\/\/www.hindawi.com\/journals\/cin\/2022\/9879259\/.","DOI":"10.1155\/2022\/9879259"},{"key":"2022110408474096471_j_pjbr-2022-0101_ref_025","doi-asserted-by":"crossref","unstructured":"M. K. Hasan, S. Islam, I. Memon, A. F. Ismail, S. Abdullah, A. K. Budati, et al., \u201cA novel resource oriented DMA framework for internet of medical things devices in 5G network,\u201d IEEE Trans. Ind. Inform., vol. 18, no. 12, pp. 8895\u2013904, 2022 Dec. https:\/\/ieeexplore.ieee.org\/document\/9705160\/.","DOI":"10.1109\/TII.2022.3148250"},{"key":"2022110408474096471_j_pjbr-2022-0101_ref_026","doi-asserted-by":"crossref","unstructured":"K. Kakhi, R. Alizadehsani, H. M. D. Kabir, A. Khosravi, S. Nahavandi, and U. R. Acharya, \u201cThe internet of medical things and artificial intelligence: trends, challenges, and opportunities,\u201d Biocybern. Biomed. Eng., vol. 42, no. 3, pp. 749\u2013771, 2022 Jul. https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0208521622000468.","DOI":"10.1016\/j.bbe.2022.05.008"},{"key":"2022110408474096471_j_pjbr-2022-0101_ref_027","doi-asserted-by":"crossref","unstructured":"S. H. A. Shah, D. Koundal, V. Sai, and S. Rani, \u201cGuest Editorial: Special section on 5G edge computing-enabled internet of medical things,\u201d IEEE Trans. Ind. Inform., vol. 18, no. 12, pp. 8860\u20138863, 2022 Dec. https:\/\/ieeexplore.ieee.org\/document\/9848442\/.","DOI":"10.1109\/TII.2022.3193708"},{"key":"2022110408474096471_j_pjbr-2022-0101_ref_028","doi-asserted-by":"crossref","unstructured":"M. S. Rahman, A. Alabdulatif, and I. Khalil, \u201cPrivacy aware internet of medical things data certification framework on healthcare blockchain of 5G edge,\u201d Comput. Commun., vol. 192, pp. 373\u201381, 2022 Aug. https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0140366422002158.","DOI":"10.1016\/j.comcom.2022.06.013"},{"key":"2022110408474096471_j_pjbr-2022-0101_ref_029","doi-asserted-by":"crossref","unstructured":"J. B. Awotunde, M. F. Ijaz, A. K. Bhoi, M. AbdulRaheem, I. D. Oladipo, and P. Barsocchi, \u201cEdge-IoMT-based enabled architecture for smart healthcare system,\u201d 5G IoT and Edge Computing for Smart Healthcare, Bhoi AK, Costa de Albuquerque VH, Sur SN, Barsocchi P (Eds.), Cambridge (MA): Academic Press, 2022, pp. 1\u201327. https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/B9780323905480000061.","DOI":"10.1016\/B978-0-323-90548-0.00006-1"},{"key":"2022110408474096471_j_pjbr-2022-0101_ref_030","doi-asserted-by":"crossref","unstructured":"X. Tang, L. Zhao, J. Chong, Z. You, L. Zhu, H. Ren, et al., \u201c5G\u2010based smart healthcare system designing and field trial in hospitals,\u201d IET Commun., vol. 16, no. 1, pp. 1\u201313, 2022 Jan 19. 10.1049\/cmu2.12300.","DOI":"10.1049\/cmu2.12300"},{"key":"2022110408474096471_j_pjbr-2022-0101_ref_031","doi-asserted-by":"crossref","unstructured":"C. Yao, Y. Li, M. D. Ansari, M. A. Talab, and A. Verma, \u201cOptimization of industrial process parameter control using improved genetic algorithm for industrial robot,\u201d Paladyn, J. Behav. 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