Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/458922
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dc.coverage.spatialAnalysis of dynamic topology wireless sensor networks for the internet of things iot
dc.date.accessioned2023-02-16T10:10:04Z-
dc.date.available2023-02-16T10:10:04Z-
dc.identifier.urihttp://hdl.handle.net/10603/458922-
dc.description.abstractWireless Sensor Networks (WSNs) have piqued the public s attention due to recent advancements in information and communication technology as well as the field of electronics. Industry has been concerned by the rapid increase in demand for wireless communication systems, which has prompted efforts to develop more efficient and Quality of Service (QoS)-focused wireless communication networks. Moreover, WSNs are a highly sought-after and widely utilized wireless network because of its decentralized and infrastructure-less nature. Moreover, internet of things (IoT) applications benefit from its low power lossy network functional reliability and cost-efficiency. Devices that monitor environmental/food/pathogens or help rescuers in disaster response are good candidates for the IoT, also implants that monitor the heart or various advantages transmitters on farm animals or electrified clams in coastal regions. newlineIn today s developing IoT world, wireless sensor interactions are critical. To ensure full system IP compatibility, industry efforts are focused on standardizing the WSN protocol suite and enabling the second generation of IoT devices to be produced. As a result of their robust communications and conformance to less verbose WSN features such as sleep cycles required to keep end nodes total energy consumption low, the WSN protocols are strong contenders for use as a highly useable implementation layer for the IoT. Existing smart systems make use of system assets newline
dc.format.extentxviii, 188p.
dc.languageEnglish
dc.relationp.172-187
dc.rightsuniversity
dc.titleAnalysis of dynamic topology wireless sensor networks for the internet of things iot
dc.title.alternative
dc.creator.researcherPraveen Kumar R
dc.subject.keywordEngineering and Technology
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordWireless Sensor Networks
dc.subject.keywordInternet of Things
dc.subject.keywordGenetic Algorithm
dc.description.note
dc.contributor.guideSmys S
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registered
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions21 cm
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 File25.88 kBAdobe PDFView/Open
02_prelim pages.pdf2.58 MBAdobe PDFView/Open
03_content.pdf9.17 kBAdobe PDFView/Open
04_abstract.pdf111.62 kBAdobe PDFView/Open
05_chapter 1.pdf907.8 kBAdobe PDFView/Open
06_chapter 2.pdf115.53 kBAdobe PDFView/Open
07_chapter 3.pdf628.93 kBAdobe PDFView/Open
08_chapter 4.pdf500.91 kBAdobe PDFView/Open
09_chapter 5.pdf339.27 kBAdobe PDFView/Open
10_chapter 6.pdf584.77 kBAdobe PDFView/Open
11_annexures.pdf2.85 MBAdobe PDFView/Open
80_recommendation.pdf2.81 MBAdobe PDFView/Open


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