The Impact of Increasing Number of Nodes on the Performance of Well-Known Trust and Reputation Models for Wireless Sensor Networks

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dc.authoridDas, Resul/0000-0002-6113-4649
dc.authorwosidDas, Resul/V-9202-2018
dc.contributor.authorTuna, Gurkan
dc.contributor.authorDas, Resul
dc.date.accessioned2024-06-12T11:17:20Z
dc.date.available2024-06-12T11:17:20Z
dc.date.issued2020
dc.departmentTrakya Üniversitesien_US
dc.description.abstractIn recent years, several trust and reputation management models have been proposed to address the security issues of wireless sensor networks. In wireless sensor networks, trust and reputation management systems basically allow sensor nodes to make their own opinion about how trustworthy other nodes are so that a higher number of successful transactions can be obtained and the probability of being defrauded reduced. To assess the performance of trust and reputation management systems a number of performance metrics were proposed. In this study, with the aim of finding out the most suitable trust and reputation model when the number of sensor nodes involved in a wireless sensor network has been increased, the performance of EigenTrust, Linguistic Fuzzy Trust Mechanism, PeerTrust and PowerTrust is evaluated in terms of accuracy rate and path length. The reason for focusing on this is that if a trust and reputation model is able to achieve the same accuracy rate and path length performance without any performance degradation when more sensor nodes are involved in the network, it can be considered as scalable. The results of our simulation studies prove that compared to the other models, Linguistic Fuzzy Trust Mechanism provides higher accuracy and less path length scores and is more suitable for large-scale deployments of wireless sensor networks.en_US
dc.identifier.doi10.5152/electrica.2020.19086
dc.identifier.endpage18en_US
dc.identifier.issn2619-9831
dc.identifier.issue1en_US
dc.identifier.startpage10en_US
dc.identifier.trdizinid426901en_US
dc.identifier.urihttps://doi.org/10.5152/electrica.2020.19086
dc.identifier.urihttps://search.trdizin.gov.tr/yayin/detay/426901
dc.identifier.urihttps://hdl.handle.net/20.500.14551/24671
dc.identifier.volume20en_US
dc.identifier.wosWOS:000518150600002en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.publisherIstanbul Univ-Cerrahapasaen_US
dc.relation.ispartofElectricaen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectWireless Sensor Networken_US
dc.subjectNode Populationen_US
dc.subjectEigentrusten_US
dc.subjectLinguistic Fuzzy Trust Mechanismen_US
dc.subjectPeertrusten_US
dc.subjectPowertrusten_US
dc.subjectAccuracyen_US
dc.subjectRangeen_US
dc.subjectSystemen_US
dc.titleThe Impact of Increasing Number of Nodes on the Performance of Well-Known Trust and Reputation Models for Wireless Sensor Networksen_US
dc.typeArticleen_US

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