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

Optimum 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...

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Main Authors: Zainol Abidin H., Din N.M., Yassin I.M., Omar H.A., Radzi N.A.M., Sadon S.K.
Other Authors: 52165115900
Format: Article
Published: Springer Verlag 2023
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spelling my.uniten.dspace-220702023-05-16T10:47:08Z Sensor Node Placement in Wireless Sensor Network Using Multi-objective Territorial Predator Scent Marking Algorithm Zainol Abidin H. Din N.M. Yassin I.M. Omar H.A. Radzi N.A.M. Sadon S.K. 52165115900 9335429400 35110052600 55130631100 57218936786 35590723900 Optimum 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. Final 2023-05-16T02:47:07Z 2023-05-16T02:47:07Z 2014 Article 10.1007/s13369-014-1292-3 2-s2.0-84904861455 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84904861455&doi=10.1007%2fs13369-014-1292-3&partnerID=40&md5=02d57d79ba27ceaeff800f80ff9eda84 https://irepository.uniten.edu.my/handle/123456789/22070 39 8 6317 6325 Springer Verlag 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 Optimum 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.
author2 52165115900
author_facet 52165115900
Zainol Abidin H.
Din N.M.
Yassin I.M.
Omar H.A.
Radzi N.A.M.
Sadon S.K.
format Article
author Zainol Abidin H.
Din N.M.
Yassin I.M.
Omar H.A.
Radzi N.A.M.
Sadon S.K.
spellingShingle Zainol Abidin H.
Din N.M.
Yassin I.M.
Omar H.A.
Radzi N.A.M.
Sadon S.K.
Sensor Node Placement in Wireless Sensor Network Using Multi-objective Territorial Predator Scent Marking Algorithm
author_sort Zainol Abidin H.
title Sensor Node Placement in Wireless Sensor Network Using Multi-objective Territorial Predator Scent Marking Algorithm
title_short Sensor Node Placement in Wireless Sensor Network Using Multi-objective Territorial Predator Scent Marking Algorithm
title_full Sensor Node Placement in Wireless Sensor Network Using Multi-objective Territorial Predator Scent Marking Algorithm
title_fullStr Sensor Node Placement in Wireless Sensor Network Using Multi-objective Territorial Predator Scent Marking Algorithm
title_full_unstemmed Sensor Node Placement in Wireless Sensor Network Using Multi-objective Territorial Predator Scent Marking Algorithm
title_sort sensor node placement in wireless sensor network using multi-objective territorial predator scent marking algorithm
publisher Springer Verlag
publishDate 2023
_version_ 1806426707987529728
score 13.211869

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