Optimization of Head Cluster Selection in WSN by Human-Based Optimization Techniques

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dc.contributor.authorFadhel, Hajer Faris
dc.contributor.authorMahmood, Musaria Karim
dc.contributor.authorAlomari, Osama Ahmad
dc.contributor.authorElnagar, Ashraf
dc.date.accessioned2023-09-30T09:26:28Z
dc.date.available2023-09-30T09:26:28Z
dc.date.issued2022en_US
dc.departmentMühendislik ve Mimarlık Fakültesien_US
dc.description.abstractWireless sensor networks (WSNs) are characterized by their ability to monitor physical or chemical phenomena in a static or dynamic location by collecting data, and transmit it in a collaborative manner to one or more processing centers wirelessly using a routing protocol. Energy dissipation is one of the most challenging issues due to the limited power supply at the sensor node. All routing protocols are large consumers of energy, as they represent the main source of energy cost through data exchange operation. Clusterbased hierarchical routing algorithms are known for their good performance in energy conservation during active data exchange in WSNs. The most common of this type of protocol is the Low-Energy Adaptive Clustering Hierarchy (LEACH), which suffers from the problem of the pseudo-random selection of cluster head resulting in large power dissipation. This critical issue can be addressed by using an optimization algorithm to improve the LEACH cluster heads selection process, thus increasing the network lifespan. This paper proposes the LEACH-CHIO, a centralized cluster-based energyaware protocol based on the Coronavirus Herd Immunity Optimizer (CHIO) algorithm. CHIO is a newly emerging human-based optimization algorithm that is expected to achieve significant improvement in the LEACH cluster heads selection process. LEACH-CHIO is implemented and its performance is verified by simulating different wireless sensor network scenarios, which consist of a variable number of nodes ranging from 20 to 100. To evaluate the algorithm performances, three evaluation indicators have been examined, namely, power consumption, number of live nodes, and number of incoming packets. The simulation results demonstrated the superiority of the proposed protocol over basic LEACH protocol for the three indicators.en_US
dc.identifier.doi10.32604/cmc.2022.026228en_US
dc.identifier.endpage5661en_US
dc.identifier.issn1546-2218
dc.identifier.issn1546-2226
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-85128648421en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage5643en_US
dc.identifier.urihttps://hdl.handle.net/11363/5715
dc.identifier.urihttps://doi.org/
dc.identifier.volume72en_US
dc.identifier.wosWOS:000819835200007en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorFadhel, Hajer Faris
dc.language.isoenen_US
dc.publisherTECH SCIENCE PRESS, 871 CORONADO CENTER DR, SUTE 200, HENDERSON, NV 89052en_US
dc.relation.ispartofComputers, Materials & Continuaen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectWSNen_US
dc.subjectLEACHen_US
dc.subjectcoronavirus herd immunity optimizeren_US
dc.subjectcluster head selectionen_US
dc.titleOptimization of Head Cluster Selection in WSN by Human-Based Optimization Techniquesen_US
dc.typeArticleen_US

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