Provisioning an energy efficient with maximum coverage WSN through biological inspired sensor node placement
Algorithms; Bioinformatics; Energy efficiency; Energy utilization; Genetic algorithms; Optimization; Wireless sensor networks; biological inspired; coverage; Marking algorithm; Sensor node placement; Target monitoring; uniformity; WSN; Sensor nodes
Saved in:
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Conference Paper |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2023
|
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.uniten.dspace-22262 |
---|---|
record_format |
dspace |
spelling |
my.uniten.dspace-222622023-05-29T13:59:54Z Provisioning an energy efficient with maximum coverage WSN through biological inspired sensor node placement Abidin H.Z. Din N.M. 52165115900 9335429400 Algorithms; Bioinformatics; Energy efficiency; Energy utilization; Genetic algorithms; Optimization; Wireless sensor networks; biological inspired; coverage; Marking algorithm; Sensor node placement; Target monitoring; uniformity; WSN; Sensor nodes Maximum coverage Wireless Sensor Network (WSN) with lower energy consumption may not be achieved without a proper sensor node placement. This paper uses a biologically inspired optimization technique known as Territorial Predator Scent Marking Algorithm (TPSMA) with maximum coverage ratio objective function to arrange the sensor nodes in WSN. The coverage ratio and energy consumption provided by this algorithm is then compared with Genetic Algorithm (GA) based sensor node placement algorithm. Simulation results show that the WSN with TPSMA sensor node placement performed better than the GA with bigger coverage and it is envisaged that the lifetime will be longer. � 2014 IEEE. Final 2023-05-29T05:59:54Z 2023-05-29T05:59:54Z 2015 Conference Paper 10.1109/ISTT.2014.7238232 2-s2.0-84946595047 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946595047&doi=10.1109%2fISTT.2014.7238232&partnerID=40&md5=285220bb886af22f6ba0106c37774930 https://irepository.uniten.edu.my/handle/123456789/22262 7238232 341 345 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 efficiency; Energy utilization; Genetic algorithms; Optimization; Wireless sensor networks; biological inspired; coverage; Marking algorithm; Sensor node placement; Target monitoring; uniformity; WSN; Sensor nodes |
author2 |
52165115900 |
author_facet |
52165115900 Abidin H.Z. Din N.M. |
format |
Conference Paper |
author |
Abidin H.Z. Din N.M. |
spellingShingle |
Abidin H.Z. Din N.M. Provisioning an energy efficient with maximum coverage WSN through biological inspired sensor node placement |
author_sort |
Abidin H.Z. |
title |
Provisioning an energy efficient with maximum coverage WSN through biological inspired sensor node placement |
title_short |
Provisioning an energy efficient with maximum coverage WSN through biological inspired sensor node placement |
title_full |
Provisioning an energy efficient with maximum coverage WSN through biological inspired sensor node placement |
title_fullStr |
Provisioning an energy efficient with maximum coverage WSN through biological inspired sensor node placement |
title_full_unstemmed |
Provisioning an energy efficient with maximum coverage WSN through biological inspired sensor node placement |
title_sort |
provisioning an energy efficient with maximum coverage wsn through biological inspired sensor node placement |
publisher |
Institute of Electrical and Electronics Engineers Inc. |
publishDate |
2023 |
_version_ |
1806427957723398144 |
score |
13.211869 |