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Dynamic positioning base station for wireless sensor network using particle swarm optimization (PSO)

The positioning of base station is one of the methods to improve the overall performance of wireless sensor network. The base station is normally located far from the sensing area. Therefore, all sensor nodes use extra power to transmit its data to this far base station and result in higher energy...

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Main Author: Nurul Adilah Abdul Latiff
Format: Thesis
Language:English
Published: Universiti Malaysia Perlis 2012
Subjects:
TK 7872 .D48 N8 2011
Nurul Adilah Abdul Latiff
Tesis Universiti Malaysia Perlis 2011
Wireless sensor networks > Research
Online Access:http://hdl.handle.net/123456789/1651
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id my.umt.ir-1651
record_format eprints
spelling my.umt.ir-16512012-07-24T03:17:30Z Dynamic positioning base station for wireless sensor network using particle swarm optimization (PSO) Nurul Adilah Abdul Latiff TK 7872 .D48 N8 2011 Nurul Adilah Abdul Latiff Tesis Universiti Malaysia Perlis 2011 Wireless sensor networks -- Research The positioning of base station is one of the methods to improve the overall performance of wireless sensor network. The base station is normally located far from the sensing area. Therefore, all sensor nodes use extra power to transmit its data to this far base station and result in higher energy consumption. In some situations, the base station can be placed in the middle of a sensing area. However in this case, a sensor node that is located at the edge of the sensing area consumes more energy to transmit data to the base station compared to sensor nodes that are located near the base station. This creates unbalanced energy consumption among all sensor nodes and furthermore reduces the network energy efficiency. Since the optimal selection of base station location in a network belongs to nondeterministic polynomial (NP) hard problem, the use of approximation algorithms such as Particle Swarm Optimization (PSO) are generally more suitable due to its simplicity and outstanding search strength. 2012-07-24T03:17:30Z 2012-07-24T03:17:30Z 2011-04 Thesis http://hdl.handle.net/123456789/1651 en ;TK 7872 .D48 N8 2011 application/pdf application/pdf Universiti Malaysia Perlis
institution Universiti Malaysia Terengganu
building Perpustakaan Sultanah Nur Zahirah
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Terengganu
content_source UMT-IR
url_provider http://umt-ir.umt.edu.my:8080/
language English
topic TK 7872 .D48 N8 2011
Nurul Adilah Abdul Latiff
Tesis Universiti Malaysia Perlis 2011
Wireless sensor networks -- Research
spellingShingle TK 7872 .D48 N8 2011
Nurul Adilah Abdul Latiff
Tesis Universiti Malaysia Perlis 2011
Wireless sensor networks -- Research
Nurul Adilah Abdul Latiff
Dynamic positioning base station for wireless sensor network using particle swarm optimization (PSO)
description The positioning of base station is one of the methods to improve the overall performance of wireless sensor network. The base station is normally located far from the sensing area. Therefore, all sensor nodes use extra power to transmit its data to this far base station and result in higher energy consumption. In some situations, the base station can be placed in the middle of a sensing area. However in this case, a sensor node that is located at the edge of the sensing area consumes more energy to transmit data to the base station compared to sensor nodes that are located near the base station. This creates unbalanced energy consumption among all sensor nodes and furthermore reduces the network energy efficiency. Since the optimal selection of base station location in a network belongs to nondeterministic polynomial (NP) hard problem, the use of approximation algorithms such as Particle Swarm Optimization (PSO) are generally more suitable due to its simplicity and outstanding search strength.
format Thesis
author Nurul Adilah Abdul Latiff
author_facet Nurul Adilah Abdul Latiff
author_sort Nurul Adilah Abdul Latiff
title Dynamic positioning base station for wireless sensor network using particle swarm optimization (PSO)
title_short Dynamic positioning base station for wireless sensor network using particle swarm optimization (PSO)
title_full Dynamic positioning base station for wireless sensor network using particle swarm optimization (PSO)
title_fullStr Dynamic positioning base station for wireless sensor network using particle swarm optimization (PSO)
title_full_unstemmed Dynamic positioning base station for wireless sensor network using particle swarm optimization (PSO)
title_sort dynamic positioning base station for wireless sensor network using particle swarm optimization (pso)
publisher Universiti Malaysia Perlis
publishDate 2012
url http://hdl.handle.net/123456789/1651
_version_ 1738395570734628864
score 13.222552

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