Publication:
Sensor Node Placement in Wireless Sensor Network Using Multi-objective Territorial Predator Scent Marking Algorithm

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dc.citedby21
dc.contributor.authorZainol Abidin H.en_US
dc.contributor.authorDin N.M.en_US
dc.contributor.authorYassin I.M.en_US
dc.contributor.authorOmar H.A.en_US
dc.contributor.authorRadzi N.A.M.en_US
dc.contributor.authorSadon S.K.en_US
dc.contributor.authorid52165115900en_US
dc.contributor.authorid9335429400en_US
dc.contributor.authorid35110052600en_US
dc.contributor.authorid55130631100en_US
dc.contributor.authorid57218936786en_US
dc.contributor.authorid35590723900en_US
dc.date.accessioned2023-05-16T02:47:07Z
dc.date.available2023-05-16T02:47:07Z
dc.date.issued2014
dc.description.abstractOptimum sensor node placement for wireless sensor network (WSN) in a monitored area is needed for cost-effective deployment. The location of sensor nodes must be able to offer maximum coverage and connectivity with minimum energy consumption. This paper proposes a sensor node placement approach that utilizes a new biologically inspired multi-objective optimization algorithm that imitates the behaviour of a territorial predator in marking their territories with their odours known as multi-objective territorial predator scent marking algorithm (MOTPSMA). The algorithm uses the maximum coverage and minimum energy consumption objective functions with subject to full connectivity. A simulation study has been carried out to compare the performance of the proposed algorithm with the multi-objective evolutionary algorithm with fuzzy dominance-based decomposition and an integer linear programming algorithm. Simulation results show that WSN deployed using the MOTPSMA sensor node placement algorithm outperforms the performance of the other two algorithms in terms of coverage, connectivity and energy usage. © 2014 King Fahd University of Petroleum and Minerals.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/s13369-014-1292-3
dc.identifier.epage6325
dc.identifier.issue8
dc.identifier.scopus2-s2.0-84904861455
dc.identifier.spage6317
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84904861455&doi=10.1007%2fs13369-014-1292-3&partnerID=40&md5=02d57d79ba27ceaeff800f80ff9eda84
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22070
dc.identifier.volume39
dc.publisherSpringer Verlagen_US
dc.sourceScopus
dc.sourcetitleArabian Journal for Science and Engineering
dc.titleSensor Node Placement in Wireless Sensor Network Using Multi-objective Territorial Predator Scent Marking Algorithmen_US
dc.typeArticleen_US
dspace.entity.typePublication
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