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Deterministic static sensor node placement in wireless sensor network based on territorial predator scent marking behavior

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dc.citedby8
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.accessioned2023-12-28T04:13:06Z
dc.date.available2023-12-28T04:13:06Z
dc.date.issued2013
dc.description.abstractAn optimum sensor node placement mechanism for Wireless Sensor Network (WSN) is desirable in ensuring the location of sensor nodes that offers maximum coverage and connectivity with minimum energy consumption. This paper proposes a sensor node placement algorithm that utilizes a new biologically inspired optimization algorithm that imitates the behaviour of territorial predators in marking their territories with their odours known as Territorial Predator Scent Marking Algorithm (TPSMA). The main objectives considered in this paper are to achieve maximum coverage and minimum energy consumption with guaranteed connectivity. A simulation study has been carried out to compare the performance of the proposed algorithm implemented in two different single objective approaches with an Integer Linear Programming based algorithm and another biological inspired algorithm. The proposed single objective approaches of TPSMA studied in this paper are TPSMA with minimum energy and TPSMA with maximum coverage. Simulation results show that the WSN deployed using the proposed TPSMA sensor node placement algorithm is able to arrange the sensor nodes according to the objective required; TPSMA with maximum coverage offers the highest coverage ratio with fewer sensor nodes up to 100% coverage while TPSMA with minimum energy consumption utilized the lowest energy as low as around 4.85 Joules. Full connectivity is provisioned for all TPSMA approaches since the constraint of the optimization problem is to ensure the connectivity from all sensor nodes to the sink node.en_US
dc.description.natureFinalen_US
dc.identifier.epage191
dc.identifier.issue3
dc.identifier.scopus2-s2.0-84890219411
dc.identifier.spage186
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84890219411&partnerID=40&md5=bb06c620363235a0718bee62e23acb7b
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/29441
dc.identifier.volume5
dc.pagecount5
dc.sourceScopus
dc.sourcetitleInternational Journal of Communication Networks and Information Security
dc.subjectBiological inspired
dc.subjectConnectivity
dc.subjectCoverage
dc.subjectDeterministic
dc.subjectEnergy
dc.subjectSensor node placement
dc.subjectWireless sensor network
dc.titleDeterministic static sensor node placement in wireless sensor network based on territorial predator scent marking behavioren_US
dc.typeArticleen_US
dspace.entity.typePublication
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