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Systematic literature review: Correlated fuzzy logic rules for node behavior detection in wireless sensor network

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dc.FundingDetailsFoundation for Fundamental Research on Matter,�FOM: USIM/FRGS/FST/32/51414
dc.FundingDetailsThe authors would like to express their gratitude to Universiti Sains Islam Malaysia (USIM) for the support and facilities provided. This research paper is supported by Fundamental Research Grants No: USIM/FRGS/FST/32/51414.
dc.contributor.affiliationsFaculty of Science and Technology
dc.contributor.affiliationsUniversiti Sains Islam Malaysia (USIM)
dc.contributor.affiliationsUniversiti Kebangsaan Malaysia (UKM)
dc.contributor.authorNoor Shahidahen_US
dc.contributor.authorA. H Aznien_US
dc.contributor.authorNajwa Hayaati Mohd Alwien_US
dc.contributor.authorKamatuzzaman Semanen_US
dc.contributor.authorNoor Hasrina Bakaren_US
dc.date.accessioned2024-05-28T08:24:49Z
dc.date.available2024-05-28T08:24:49Z
dc.date.issued2017
dc.description.abstractIn distributed wireless sensor network, the possibility for one or several nodes to become faulty is directly proportional upon the number of nodes within the network. Unnecessary control of the network triggers the anomaly, faulty and misbehavior in nodes which anyhow yield to degradation of network performance. Therefore, the identification of node behavior in distributed sensory system is crucially important to improve the network performance throughout the monitoring period. Though the detection schemes are several, Fuzzy logic for node behavior detection in WSN however present a more accurate incentive as it considered the uncertainties inherited in the WSN environment during the fault diagnosis period. This paper analyzes several fuzzy logic approaches for correlated node behavior detection. With six primary articles, this paper provides systematic literature review (SLR) and presents an overview of current design of research trend in this area.en_US
dc.description.natureFinalen_US
dc.identifier.epage115
dc.identifier.issn21801843
dc.identifier.issue3-3 Special Issue
dc.identifier.scopus2-s2.0-85041704070
dc.identifier.spage109
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85041704070&partnerID=40&md5=4d0fdcc3301b6b6b95a61e3842ff2daa
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/8569
dc.identifier.volume9
dc.languageEnglish
dc.language.isoen_USen_US
dc.publisherUniversiti Teknikal Malaysia Melakaen_US
dc.relation.ispartofJournal of Telecommunication, Electronic and Computer Engineeringen_US
dc.sourceScopus
dc.subjectCorrelated fuzzy logicen_US
dc.subjectNode behavioren_US
dc.subjectSystematic reviewen_US
dc.subjectWireless sensor networken_US
dc.titleSystematic literature review: Correlated fuzzy logic rules for node behavior detection in wireless sensor networken_US
dc.typeArticleen_US
dspace.entity.typePublication

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