An Efficient Methodology for the Detection of Malicious Residual Nodes and Link Failures in WSN using Soft Computing Approaches

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dc.contributor.guideC.Arun
dc.coverage.spatial
dc.creator.researcherB.Rajasekaran
dc.date.accessioned2024-03-18T12:13:27Z
dc.date.available2024-03-18T12:13:27Z
dc.date.awarded2021
dc.date.completed2021
dc.date.registered2013
dc.description.abstractnewline
dc.description.note
dc.format.accompanyingmaterialDVD
dc.format.dimensions
dc.format.extent
dc.identifier.urihttp://hdl.handle.net/10603/552543
dc.languageEnglish
dc.publisher.institutionDepartment of Electronics and Communication
dc.publisher.placeChennai
dc.publisher.universitySt. Peter s Institute of Higher Education and Research
dc.relation
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordInstruments and Instrumentation
dc.titleAn Efficient Methodology for the Detection of Malicious Residual Nodes and Link Failures in WSN using Soft Computing Approaches
dc.title.alternative
dc.type.degreePh.D.

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