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WSN based intruder detection system based on Territorial Predator Scent Marking Algorithm (TPSMA) sensor node placement scheme

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dc.citedby1
dc.contributor.authorAbidin H.Z.en_US
dc.contributor.authorSubhamaniam S.R.en_US
dc.contributor.authorDin N.M.en_US
dc.contributor.authorRadzi N.A.M.en_US
dc.contributor.authorid52165115900en_US
dc.contributor.authorid57191624316en_US
dc.contributor.authorid9335429400en_US
dc.contributor.authorid57218936786en_US
dc.date.accessioned2023-05-29T06:11:30Z
dc.date.available2023-05-29T06:11:30Z
dc.date.issued2016
dc.descriptionComputer hardware; Costs; Energy utilization; Hardware; Industrial electronics; Intrusion detection; Reconfigurable hardware; Sensor nodes; Zigbee; experimental; Intruder detection; Sensor node placement; TPSMA; validation; Wireless sensor networksen_US
dc.description.abstractAn effective sensor node placement in a Wireless Sensor Network (WSN) is one of the ways to provide a WSN with maximum coverage, maximum connectivity, minimum deployment cost and minimum energy consumption. Territorial Predator Scent Marking Algorithm (TPSMA) has been recently proposed by the authors. This paper presents an intruder detection system based on TPSMA. The performance of the TPSMA intruder detection system are evaluated based on coverage ratio and connectivity probability through simulation and hardware experimentation. The results show that the simulation and hardware experimental results are of similar trend with some expected differences due to various factors. � 2016 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo7575026
dc.identifier.doi10.1109/ISCAIE.2016.7575026
dc.identifier.epage6
dc.identifier.scopus2-s2.0-84992066430
dc.identifier.spage1
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84992066430&doi=10.1109%2fISCAIE.2016.7575026&partnerID=40&md5=28ed4ade300e5c5c84903f20f86ced60
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22655
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleISCAIE 2016 - 2016 IEEE Symposium on Computer Applications and Industrial Electronics
dc.titleWSN based intruder detection system based on Territorial Predator Scent Marking Algorithm (TPSMA) sensor node placement schemeen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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