Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/519251
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dc.coverage.spatialFuzzy logic based effective clustering method for wireless sensor netwaorks
dc.date.accessioned2023-10-20T09:36:03Z-
dc.date.available2023-10-20T09:36:03Z-
dc.identifier.urihttp://hdl.handle.net/10603/519251-
dc.description.abstractiii newlineABSTRACT newlineNowadays, the wireless network is utilized worldwide due to its newlineadvanced beneficial techniques in communication and monitoring purposes. newlineThe primary function of Wireless Sensor Network (WSN) is to sense the newlineinformation from the surrounding environment and transfers the data to newlineremote locations. WSN is comprised of numerous Sensor Nodes (SNs) newlinethroughout the network that passes the information to the neighboring nodes newlineuntil the data gets received by the Base Station (BS). The obtained data gets newlineprocessed and restructured by the BS and then transfers the restructured data newlineto the users. The wireless sensor nodes are employed in various hostile newlineconditions such as health care sector, disaster relief operations, smart building newlineconstructions, mapping of biodiversity, military and agriculture purposes. newlineHowever, energy consumption and network lifetime are the key concern newlineparameters in WSN. Each sensor node in the network is allotted with limited newlineamount of energy. During data broadcasting, the SNs deplete their energy newlinefaster which results in the reduction of network lifetime. newline
dc.format.extentxviii, 146p.
dc.languageEnglish
dc.relationp132-145.
dc.rightsuniversity
dc.titleFuzzy logic based effective clustering method for wireless sensor netwaorks
dc.title.alternative
dc.creator.researcherSheriba,S T
dc.subject.keywordInformation And Communication Engineering
dc.subject.keywordSensor Nodes
dc.subject.keywordWireless Sensor Network
dc.description.note
dc.contributor.guideHevin Rajesh,D
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registered
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions21cm
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File240.67 kBAdobe PDFView/Open
02_prelim_pages.pdf3.3 MBAdobe PDFView/Open
03_content.pdf205.18 kBAdobe PDFView/Open
04_abstract.pdf174.62 kBAdobe PDFView/Open
05_chapter 1.pdf323.45 kBAdobe PDFView/Open
06_chapter 2.pdf390.22 kBAdobe PDFView/Open
07_chapter 3.pdf796.19 kBAdobe PDFView/Open
08_chapter 4.pdf823.21 kBAdobe PDFView/Open
09_chapter 5.pdf815.19 kBAdobe PDFView/Open
10_annexures.pdf263.6 kBAdobe PDFView/Open
80_recommendation.pdf304.24 kBAdobe PDFView/Open


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