Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/345638
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dc.coverage.spatialEfficient routing and enhanced hotspot detection protocols to reduce the bottlenecks in wsn
dc.date.accessioned2021-10-26T05:53:36Z-
dc.date.available2021-10-26T05:53:36Z-
dc.identifier.urihttp://hdl.handle.net/10603/345638-
dc.description.abstractIn the current scenario, the requirement for Internet of things (IoT) has significantly increased; certain sectors that demand IoT include industrial automation, home control, health care applications, military and surveillance applications, habitat monitoring, and nanoscopic sensor applications. The implementation of optimal wireless sensor networks (WSNs) has resulted in their involvement in transmission techniques. Practically, a WSN consist of thousands of randomly distributed sensor nodes to sense and transmit the environmental data, such as temperature, pressure, humidity, light, and sound. One of the dominant demands while employing these sensor nodes is energy. Consequently, it has become a major area of research among recent researchers; moreover, several design techniques and protocols were presented within the last decade, especially for IoT-based applications. Therefore, the systemization of an energy optimized WSN in dynamic functional circumstances with automatic self-configuration of the sensor nodes are essential objectives. newline
dc.format.extentxix, 139p
dc.languageEnglish
dc.relationp.128-138
dc.rightsuniversity
dc.titleEfficient routing and enhanced hotspot detection protocols to reduce the bottlenecks in wsn
dc.title.alternative
dc.creator.researcherPraghash, K
dc.subject.keywordEngineering and Technology
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordEfficient routing
dc.subject.keywordhotspot detection
dc.description.note
dc.contributor.guideRavi, R
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registered
dc.date.completed2020
dc.date.awarded2020
dc.format.dimensions21cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File25.6 kBAdobe PDFView/Open
02_certificates.pdf110.93 kBAdobe PDFView/Open
03_vivaproceedings.pdf237.05 kBAdobe PDFView/Open
04_bonafidecertificate.pdf51.17 kBAdobe PDFView/Open
05_abstracts.pdf8.67 kBAdobe PDFView/Open
06_acknowledgements.pdf197.05 kBAdobe PDFView/Open
07_contents.pdf11.1 kBAdobe PDFView/Open
08_listoftables.pdf3.08 kBAdobe PDFView/Open
09_listoffigures.pdf5.89 kBAdobe PDFView/Open
10_listofabbreviations.pdf139.21 kBAdobe PDFView/Open
11_chapter1.pdf179.52 kBAdobe PDFView/Open
12_chapter2.pdf188.95 kBAdobe PDFView/Open
13_chapter3.pdf377.86 kBAdobe PDFView/Open
14_chapter4.pdf256.41 kBAdobe PDFView/Open
15_chapter5.pdf307.96 kBAdobe PDFView/Open
16_conclusion.pdf17.91 kBAdobe PDFView/Open
17_references.pdf58.62 kBAdobe PDFView/Open
18_listofpublications.pdf35.09 kBAdobe PDFView/Open
80_recommendation.pdf53.17 kBAdobe PDFView/Open


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