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Multi-objective biological mimicry optimization algorithm for WSN sensor node placement

Algorithms; Bioinformatics; Energy utilization; Integer programming; Multiobjective optimization; Optimization; Wireless sensor networks; biological inspired; connectivity; coverage; energy; Multi objective; Sensor node placement; WSN; Sensor nodes

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Bibliographic Details
Main Authors: Abidin H.Z., 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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spelling my.uniten.dspace-222562023-05-29T13:59:53Z Multi-objective biological mimicry optimization algorithm for WSN sensor node placement Abidin H.Z. Din N.M. Radzi N.A.M. 52165115900 9335429400 57218936786 Algorithms; Bioinformatics; Energy utilization; Integer programming; Multiobjective optimization; Optimization; Wireless sensor networks; biological inspired; connectivity; coverage; energy; Multi objective; Sensor node placement; WSN; Sensor nodes An optimum sensor nodes arrangement in a Wireless Sensor Network (WSN) would be able to provide a WSN with maximum coverage, minimum energy consumption and guaranteed connectivity. A sensor node placement algorithm called Multi-objective Territorial Predator Scent Marking Algorithm (MOTPSMA) that imitates the behavior of territorial predators in marking their territories with their odours is introduced in this paper. The MOTPSMA deployed in this paper uses the minimum uncovered area and minimum energy consumption as the objective functions subject to full connectivity constraint. The performance of the proposed technique is then compared with an Integer Linear Programming (ILP) algorithm in terms of coverage ratio, connectivity and energy consumption. Simulation results show that the WSN deployed with the proposed sensor node placement scheme provides better performance with larger coverage ratio, full connectivity and lower energy consumption. � 2014 IEEE. Final 2023-05-29T05:59:52Z 2023-05-29T05:59:52Z 2015 Conference Paper 10.1109/ISTT.2014.7238226 2-s2.0-84946605828 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946605828&doi=10.1109%2fISTT.2014.7238226&partnerID=40&md5=1693944a6b88db03937b22bdff08294a https://irepository.uniten.edu.my/handle/123456789/22256 7238226 310 315 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 Algorithms; Bioinformatics; Energy utilization; Integer programming; Multiobjective optimization; Optimization; Wireless sensor networks; biological inspired; connectivity; coverage; energy; Multi objective; Sensor node placement; WSN; Sensor nodes
author2 52165115900
author_facet 52165115900
Abidin H.Z.
Din N.M.
Radzi N.A.M.
format Conference Paper
author Abidin H.Z.
Din N.M.
Radzi N.A.M.
spellingShingle Abidin H.Z.
Din N.M.
Radzi N.A.M.
Multi-objective biological mimicry optimization algorithm for WSN sensor node placement
author_sort Abidin H.Z.
title Multi-objective biological mimicry optimization algorithm for WSN sensor node placement
title_short Multi-objective biological mimicry optimization algorithm for WSN sensor node placement
title_full Multi-objective biological mimicry optimization algorithm for WSN sensor node placement
title_fullStr Multi-objective biological mimicry optimization algorithm for WSN sensor node placement
title_full_unstemmed Multi-objective biological mimicry optimization algorithm for WSN sensor node placement
title_sort multi-objective biological mimicry optimization algorithm for wsn sensor node placement
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806427722719690752
score 13.214268

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