Improving the performance of hierarchical wireless sensor networks using the metaheuristic algorithms: efficient cluster head selection

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dc.contributor.authorKiani, Farzad
dc.contributor.authorSeyyedabbasi, Amir
dc.contributor.authorNematzadeh, Sajjad
dc.date.accessioned2024-03-13T10:32:54Z
dc.date.available2024-03-13T10:32:54Z
dc.date.issued2021
dc.departmentİstanbul Beykent Üniversitesien_US
dc.description.abstractPurpose Efficient resource utilization in wireless sensor networks is an important issue. Clustering structure has an important effect on the efficient use of energy, which is one of the most critical resources. However, it is extremely vital to choose efficient and suitable cluster head (CH) elements in these structures to harness their benefits. Selecting appropriate CHs and finding optimal coefficients for each parameter of a relevant fitness function in CHs election is a non-deterministic polynomial-time (NP-hard) problem that requires additional processing. Therefore, the purpose of this paper is to propose efficient solutions to achieve the main goal by addressing the related issues. Design/methodology/approach This paper draws inspiration from three metaheuristic-based algorithms; gray wolf optimizer (GWO), incremental GWO and expanded GWO. These methods perform various complex processes very efficiently and much faster. They consist of cluster setup and data transmission phases. The first phase focuses on clusters formation and CHs election, and the second phase tries to find routes for data transmission. The CH selection is obtained using a new fitness function. This function focuses on four parameters, i.e. energy of each node, energy of its neighbors, number of neighbors and its distance from the base station. Findings The results obtained from the proposed methods have been compared with HEEL, EESTDC, iABC and NR-LEACH algorithms and are found to be successful using various analysis parameters. Particularly, I-HEELEx-GWO method has provided the best results. Originality/value This paper proposes three new methods to elect optimal CH that prolong the networks lifetime, save energy, improve overhead along with packet delivery ratio.en_US
dc.identifier.doi10.1108/SR-03-2021-0094
dc.identifier.endpage381en_US
dc.identifier.issn0260-2288
dc.identifier.issn1758-6828
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85111811741en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage368en_US
dc.identifier.urihttps://doi.org/10.1108/SR-03-2021-0094
dc.identifier.urihttps://hdl.handle.net/20.500.12662/3644
dc.identifier.volume41en_US
dc.identifier.wosWOS:000683859200001en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherEmerald Group Publishing Ltden_US
dc.relation.ispartofSensor Reviewen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectClusteringen_US
dc.subjectMetaheuristicen_US
dc.subjectWSNen_US
dc.subjectDIoTen_US
dc.subjectEnergy-efficiencyen_US
dc.titleImproving the performance of hierarchical wireless sensor networks using the metaheuristic algorithms: efficient cluster head selectionen_US
dc.typeArticleen_US

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