Detection of attacks on wireless sensor network using genetic algorithms based on fuzzy

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dc.contributor.authorAl Hayali, Shaymaa
dc.contributor.authorUçan, Osman Nuri
dc.contributor.authorRahebi, Javad
dc.contributor.authorBayat, Oğuz
dc.date.accessioned2021-05-15T12:41:16Z
dc.date.available2021-05-15T12:41:16Z
dc.date.issued2019
dc.departmentMühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractIn this paper an individual - suitable function calculating design for WSNs is conferred. A multi-agent-located construction for WSNs is planned and an analytical type of the active combination is built for the function appropriation difficulty. The purpose of this study is to identify the threats identified by clustering genetic algorithms in clustering networks, which will prolong network lifetime. In addition, optimal routing is done using the fuzzy function. Simulation results show that the simulated genetic algorithm improves diagnostic speed and improves energy consumption. (c) 2019. CBIORE-IJRED. All rights reserveden_US
dc.identifier.doi10.14710/ijred.8.1.57-64
dc.identifier.endpage64en_US
dc.identifier.issn2252-4940
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85065492015
dc.identifier.scopusqualityQ2
dc.identifier.startpage57en_US
dc.identifier.urihttps://doi.org/10.14710/ijred.8.1.57-64
dc.identifier.urihttps://hdl.handle.net/20.500.12939/775
dc.identifier.volume8en_US
dc.identifier.wosWOS:000457519600008
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorUçan, Osman Nuri
dc.institutionauthorBayat, Oğuz
dc.institutionauthorAl Hayali, Shaymaa
dc.language.isoen
dc.publisherDiponegoro Univen_US
dc.relation.ispartofInternational Journal of Renewable Energy Development-Ijred
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectWireless Sensor Networken_US
dc.subjectFuzzyen_US
dc.subjectGenetic Algorithmen_US
dc.subjectDetection Of Attacken_US
dc.subjectMalicious Nodeen_US
dc.titleDetection of attacks on wireless sensor network using genetic algorithms based on fuzzy
dc.typeArticle

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