Internal-genetic-algorithm-based, energy-efficient clusters

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dc.contributor.authorBayrakli, Selim
dc.contributor.authorErdogan, Senol Zafer
dc.contributor.authorKilinc, Turgut
dc.date.accessioned2024-07-12T21:51:46Z
dc.date.available2024-07-12T21:51:46Z
dc.date.issued2016en_US
dc.departmentMaltepe Üniversitesien_US
dc.description.abstractWe propose an internal-genetic-algorithm-based, energy-efficient clustering (INGABEEC) method to enhance the lifetime of wireless sensor networks (WSNs). The proposed method generates energy-efficient clusters by considering several aspects of the WSNs. The INGABEEC generates energy-efficient clusters by genetic algorithm, where cluster heads are changed dynamically. Furthermore, the INGABEEC is improved by using an intra-cluster communication between non-cluster head nodes.en_US
dc.identifier.endpage303en_US
dc.identifier.issn1905-7873
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-84994750375en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage294en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12415/8315
dc.identifier.volume10en_US
dc.identifier.wosWOS:000388448500005en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherMAEJO UNIVen_US
dc.relation.ispartofMAEJO INTERNATIONAL JOURNAL OF SCIENCE AND TECHNOLOGYen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmzKY02206
dc.subjectwireless sensor networksen_US
dc.subjectenergy-efficient clusteringen_US
dc.subjectgenetic algorithmen_US
dc.titleInternal-genetic-algorithm-based, energy-efficient clustersen_US
dc.typeArticle
dspace.entity.typePublication

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