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Multi-objective biological mimicry optimization algorithm for WSN sensor node placement

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dc.citedby1
dc.contributor.authorAbidin H.Z.en_US
dc.contributor.authorDin N.M.en_US
dc.contributor.authorRadzi N.A.M.en_US
dc.contributor.authorid52165115900en_US
dc.contributor.authorid9335429400en_US
dc.contributor.authorid57218936786en_US
dc.date.accessioned2023-05-29T05:59:52Z
dc.date.available2023-05-29T05:59:52Z
dc.date.issued2015
dc.descriptionAlgorithms; Bioinformatics; Energy utilization; Integer programming; Multiobjective optimization; Optimization; Wireless sensor networks; biological inspired; connectivity; coverage; energy; Multi objective; Sensor node placement; WSN; Sensor nodesen_US
dc.description.abstractAn optimum sensor nodes arrangement in a Wireless Sensor Network (WSN) would be able to provide a WSN with maximum coverage, minimum energy consumption and guaranteed connectivity. A sensor node placement algorithm called Multi-objective Territorial Predator Scent Marking Algorithm (MOTPSMA) that imitates the behavior of territorial predators in marking their territories with their odours is introduced in this paper. The MOTPSMA deployed in this paper uses the minimum uncovered area and minimum energy consumption as the objective functions subject to full connectivity constraint. The performance of the proposed technique is then compared with an Integer Linear Programming (ILP) algorithm in terms of coverage ratio, connectivity and energy consumption. Simulation results show that the WSN deployed with the proposed sensor node placement scheme provides better performance with larger coverage ratio, full connectivity and lower energy consumption. � 2014 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo7238226
dc.identifier.doi10.1109/ISTT.2014.7238226
dc.identifier.epage315
dc.identifier.scopus2-s2.0-84946605828
dc.identifier.spage310
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84946605828&doi=10.1109%2fISTT.2014.7238226&partnerID=40&md5=1693944a6b88db03937b22bdff08294a
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22256
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleISTT 2014 - 2014 IEEE 2nd International Symposium on Telecommunication Technologies
dc.titleMulti-objective biological mimicry optimization algorithm for WSN sensor node placementen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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