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

Computer hardware; Costs; Energy utilization; Hardware; Industrial electronics; Intrusion detection; Reconfigurable hardware; Sensor nodes; Zigbee; experimental; Intruder detection; Sensor node placement; TPSMA; validation; Wireless sensor networks

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Bibliographic Details
Main Authors: Abidin H.Z., Subhamaniam S.R., Din N.M., Radzi N.A.M.
Other Authors: 52165115900
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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Institution: Universiti Tenaga Nasional
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spelling my.uniten.dspace-226552023-05-29T14:11:30Z WSN based intruder detection system based on Territorial Predator Scent Marking Algorithm (TPSMA) sensor node placement scheme Abidin H.Z. Subhamaniam S.R. Din N.M. Radzi N.A.M. 52165115900 57191624316 9335429400 57218936786 Computer hardware; Costs; Energy utilization; Hardware; Industrial electronics; Intrusion detection; Reconfigurable hardware; Sensor nodes; Zigbee; experimental; Intruder detection; Sensor node placement; TPSMA; validation; Wireless sensor networks An 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. Final 2023-05-29T06:11:30Z 2023-05-29T06:11:30Z 2016 Conference Paper 10.1109/ISCAIE.2016.7575026 2-s2.0-84992066430 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84992066430&doi=10.1109%2fISCAIE.2016.7575026&partnerID=40&md5=28ed4ade300e5c5c84903f20f86ced60 https://irepository.uniten.edu.my/handle/123456789/22655 7575026 1 6 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Computer hardware; Costs; Energy utilization; Hardware; Industrial electronics; Intrusion detection; Reconfigurable hardware; Sensor nodes; Zigbee; experimental; Intruder detection; Sensor node placement; TPSMA; validation; Wireless sensor networks
author2 52165115900
author_facet 52165115900
Abidin H.Z.
Subhamaniam S.R.
Din N.M.
Radzi N.A.M.
format Conference Paper
author Abidin H.Z.
Subhamaniam S.R.
Din N.M.
Radzi N.A.M.
spellingShingle Abidin H.Z.
Subhamaniam S.R.
Din N.M.
Radzi N.A.M.
WSN based intruder detection system based on Territorial Predator Scent Marking Algorithm (TPSMA) sensor node placement scheme
author_sort Abidin H.Z.
title WSN based intruder detection system based on Territorial Predator Scent Marking Algorithm (TPSMA) sensor node placement scheme
title_short WSN based intruder detection system based on Territorial Predator Scent Marking Algorithm (TPSMA) sensor node placement scheme
title_full WSN based intruder detection system based on Territorial Predator Scent Marking Algorithm (TPSMA) sensor node placement scheme
title_fullStr WSN based intruder detection system based on Territorial Predator Scent Marking Algorithm (TPSMA) sensor node placement scheme
title_full_unstemmed WSN based intruder detection system based on Territorial Predator Scent Marking Algorithm (TPSMA) sensor node placement scheme
title_sort wsn based intruder detection system based on territorial predator scent marking algorithm (tpsma) sensor node placement scheme
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806425718082502656