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dc.contributor.advisorSabuj, Saifur Rahman
dc.contributor.advisorBhuian, Mohammed Belal Hossain
dc.contributor.authorNazneen, Sadia
dc.date.accessioned2020-02-18T04:22:21Z
dc.date.available2020-02-18T04:22:21Z
dc.date.copyright2019
dc.date.issued2019-09
dc.identifier.otherID 16271002
dc.identifier.urihttp://hdl.handle.net/10361/13775
dc.descriptionThis thesis is submitted in partial fulfilment of the requirements for the degree of Master of Science in Electrical and Electronic Engineering, 2019.en_US
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (pages 44-50).
dc.description.abstractCognitive wireless sensor networks (CWSN) have recently attracted significant research attention owing to their promise for application in the cellular communication. In this study, an analytical uplink modeling for CWSN is introduced. Detailed mathematical analysis of the outage probability, throughput, affected area and delay sensitive area spectral efficiency (DASE) for fixed network is defined and also the outage probability and affected area is derived in random network considering of the probabilities of unoccupied by the channel selection and successful transmission for imperfect detection. The numerical results for fixed network are analyzed depending on theoretical expression which shows that optimal transmission power is efficient to find the maximum value of DASE and for this reason the RF pollution is low.en_US
dc.description.statementofresponsibilitySadia Nazneen
dc.format.extent64 pages
dc.language.isoenen_US
dc.publisherBrac Universityen_US
dc.rightsBrac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectCognitive wireless sensor networken_US
dc.subjectEnergy efficiencyen_US
dc.subjectOptimization techniqueen_US
dc.subjectDelay sensitive area efficiencyen_US
dc.subject.lcshWireless sensor networks
dc.titleInvestigation and performance analysis of cognitive wireless sensor networken_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Electrical and Electronic Engineering, BRAC University
dc.description.degreeM. Electrical and Electronic Engineering


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