Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/421898
Full metadata record
DC FieldValueLanguage
dc.coverage.spatialPerformance enhancement of crwsn
dc.date.accessioned2022-12-06T05:39:24Z-
dc.date.available2022-12-06T05:39:24Z-
dc.identifier.urihttp://hdl.handle.net/10603/421898-
dc.description.abstractThe abrupt growth in current wireless technologies and devices has resulted in massive spectrum demands and energy consumption of Wireless Sensor Network (WSN) To mitigate the spectral scarcity and to ensure the energy requirements a cognitive radio enabled WSN is required Since Wireless Sensor Networks usually operates in unlicensed bands acquiring Cognitive Radio into WSN with an energy efficiency is a challenging task However the state of the art technologies applies either reactive spectrum sensing or proactive spectrum sensing approaches to reform spectrum usage based on environment observations The main goal of the thesis is to address the performance of CRSN in terms of various parameters like throughput energy consumption sensing efficiency error probability and energy efficiency Initially a team-based hybrid sensing method is proposed for Cognitive Radio Sensor Networks (CRSNs) which applies both reactive sensing and proactive sensing by a team-based approach First the Secondary Users (SUs) are grouped into teams based on its detection probability of each Primary User (PU) channels Each team is limited to sense a PU channel Next a SU with maximum detection Probability (Pd) called Sensing Representative Node (SRN) is involved in reactive sensing Hence the sensing overheads is avoided and energy consumption is limited By the dynamic channel allocation the SUs throughput is increased Proactive sensing predicts the PU channel occupancies and allows the SU transmission over the vacant PU channels Both simulation and Universal Software Radio Peripheral (USRP) based test bed results show that the proposed Team-Based Hybrid Sensing (TBHS) improves the throughput and energy efficiency of CRSNs by 2% and 4% over the existing sensing methods newline
dc.format.extentxv, 121.
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titlePerformance enhancement of crwsn
dc.title.alternative
dc.creator.researcherBala vishnu J
dc.subject.keywordEngineering and Technology
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordWireless technologies
dc.subject.keywordRadio Peripheral
dc.subject.keywordSensor Networks
dc.description.note
dc.contributor.guideBhagyaveni M A
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registered
dc.date.completed2021
dc.date.awarded2021
dc.format.dimensions21cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File198.04 kBAdobe PDFView/Open
02_prelim pages.pdf558.55 kBAdobe PDFView/Open
03_content.pdf126.15 kBAdobe PDFView/Open
04_abstract.pdf115.4 kBAdobe PDFView/Open
05_chapter 1.pdf608.38 kBAdobe PDFView/Open
06_chapter 2.pdf389.63 kBAdobe PDFView/Open
07_chapter 3.pdf2.3 MBAdobe PDFView/Open
08_chapter 4.pdf1.37 MBAdobe PDFView/Open
09_chapter 5.pdf1.12 MBAdobe PDFView/Open
10_chapter 6.pdf945.73 kBAdobe PDFView/Open
11_annexures.pdf168.52 kBAdobe PDFView/Open
80_recommendation.pdf129.18 kBAdobe PDFView/Open


Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).

Altmetric Badge: