Publication:
Dynamic smart grid communication parameters based cognitive radio network

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dc.citedby1
dc.contributor.authorHaider H.T.en_US
dc.contributor.authorMuhsen D.H.en_US
dc.contributor.authorShahadi H.I.en_US
dc.contributor.authorSee O.H.en_US
dc.contributor.authorElmenreich W.en_US
dc.contributor.authorid57038392900en_US
dc.contributor.authorid56728928200en_US
dc.contributor.authorid54956597100en_US
dc.contributor.authorid16023044400en_US
dc.contributor.authorid6505948861en_US
dc.date.accessioned2023-05-29T07:29:38Z
dc.date.available2023-05-29T07:29:38Z
dc.date.issued2019
dc.description.abstractThe demand for more spectrums in a smart grid communication network is a significant challenge in originally scarce spectrum resources. Cognitive radio (CR) is a powerful technique for solving the spectrum scarcity problem by adapting the transmission parameters according to predefined objectives in an active wireless communication network. This paper presents a cognitive radio decision engine that dynamically selects optimal radio transmission parameters for wireless home area networks (HAN) of smart grid applications via the multi-objective differential evolution (MODE) optimization method. The proposed system helps to drive optimal communication parameters to realize power saving, maximum throughput and minimum bit error rate communication modes. A differential evolution algorithm is used to select the optimal transmission parameters for given communication modes based on a fitness function that combines multiple objectives based on appropriate weights. Simulation results highlight the superiority of the proposed system in terms of accuracy and convergence as compared with other evolution algorithms (genetic optimization, particle swarm optimization, and ant colony optimization) for different communication modes (power saving mode, high throughput mode, emergency communication mode, and balanced mode). � Czech Technical University in Prague, 2019.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.14311/AP.2019.59.0248
dc.identifier.epage259
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85070763834
dc.identifier.spage248
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85070763834&doi=10.14311%2fAP.2019.59.0248&partnerID=40&md5=b713506117f107ab5c5c50409985dbd8
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/24970
dc.identifier.volume59
dc.publisherCzech Technical Universityen_US
dc.relation.ispartofAll Open Access, Gold, Green
dc.sourceScopus
dc.sourcetitleActa Polytechnica
dc.titleDynamic smart grid communication parameters based cognitive radio networken_US
dc.typeArticleen_US
dspace.entity.typePublication
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