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
Subjects:	TK 7872 .D48 N8 2011 Nurul Adilah Abdul Latiff Tesis Universiti Malaysia Perlis 2011 Wireless sensor networks > Research
Online Access:	http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/1651/1/TK%207872%20.D48%20N8%202011%20Abstract.pdf http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/1651/2/TK%207872%20.D48%20N8%202011%20FullText.pdf
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id	my-umt-ir.-1651
record_format	uketd_dc
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 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. Universiti Malaysia Perlis 2011-04 Thesis en http://hdl.handle.net/123456789/1651 http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/1651/1/TK%207872%20.D48%20N8%202011%20Abstract.pdf d8e743b270e85e0315e89fb39a36c030 http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/1651/2/TK%207872%20.D48%20N8%202011%20FullText.pdf 0065e635773525ab218923e9db9743b2 http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/1651/3/license.txt 8a4605be74aa9ea9d79846c1fba20a33 TK 7872 .D48 N8 2011 Nurul Adilah Abdul Latiff Tesis Universiti Malaysia Perlis 2011 Wireless sensor networks -- Research
institution	Universiti Malaysia Terengganu
collection	UMT Repository System
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)
granting_institution	Universiti Malaysia Perlis
url	http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/1651/1/TK%207872%20.D48%20N8%202011%20Abstract.pdf http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/1651/2/TK%207872%20.D48%20N8%202011%20FullText.pdf
_version_	1747835834747322368

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

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