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Provisioning an energy efficient with maximum coverage WSN through biological inspired sensor node placement

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dc.citedby2
dc.contributor.authorAbidin H.Z.en_US
dc.contributor.authorDin N.M.en_US
dc.contributor.authorid52165115900en_US
dc.contributor.authorid9335429400en_US
dc.date.accessioned2023-05-29T05:59:54Z
dc.date.available2023-05-29T05:59:54Z
dc.date.issued2015
dc.descriptionAlgorithms; Bioinformatics; Energy efficiency; Energy utilization; Genetic algorithms; Optimization; Wireless sensor networks; biological inspired; coverage; Marking algorithm; Sensor node placement; Target monitoring; uniformity; WSN; Sensor nodesen_US
dc.description.abstractMaximum coverage Wireless Sensor Network (WSN) with lower energy consumption may not be achieved without a proper sensor node placement. This paper uses a biologically inspired optimization technique known as Territorial Predator Scent Marking Algorithm (TPSMA) with maximum coverage ratio objective function to arrange the sensor nodes in WSN. The coverage ratio and energy consumption provided by this algorithm is then compared with Genetic Algorithm (GA) based sensor node placement algorithm. Simulation results show that the WSN with TPSMA sensor node placement performed better than the GA with bigger coverage and it is envisaged that the lifetime will be longer. � 2014 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo7238232
dc.identifier.doi10.1109/ISTT.2014.7238232
dc.identifier.epage345
dc.identifier.scopus2-s2.0-84946595047
dc.identifier.spage341
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84946595047&doi=10.1109%2fISTT.2014.7238232&partnerID=40&md5=285220bb886af22f6ba0106c37774930
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22262
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleISTT 2014 - 2014 IEEE 2nd International Symposium on Telecommunication Technologies
dc.titleProvisioning an energy efficient with maximum coverage WSN through biological inspired sensor node placementen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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