Optimization of adaptive linear sensor node array in wireless sensor network

This paper presents a method of optimizing sensor node coordination in order to reassign the nodes in linear array arrangement to form a linear antenna array. This linear sensor node array (LSNA) is constructed within random sensor node deployment. The LSNA should be optimized as closely comparable...

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Main Authors: Nik Abd. Malik, Nik Noordini, Esa, Mazlina, Syed Yusof, Sharifah Kamilah
Format: Conference or Workshop Item
Published: 2007
Subjects:
Online Access:http://eprints.utm.my/id/eprint/14617/
http://dx.doi.org/10.1109/APMC.2009.5385453
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spelling my.utm.146172017-09-14T03:30:06Z http://eprints.utm.my/id/eprint/14617/ Optimization of adaptive linear sensor node array in wireless sensor network Nik Abd. Malik, Nik Noordini Esa, Mazlina Syed Yusof, Sharifah Kamilah TK Electrical engineering. Electronics Nuclear engineering This paper presents a method of optimizing sensor node coordination in order to reassign the nodes in linear array arrangement to form a linear antenna array. This linear sensor node array (LSNA) is constructed within random sensor node deployment. The LSNA should be optimized as closely comparable as a conventional uniform linear array (ULA) to minimize the beamforming performance errors. Beamforming has been introduced in wireless sensor networks (WSNs) in order to increase the transmission range of individual sensor nodes. The performance of the two methods: LSNA and ULA are compared in adaptive manner. The results of the constructed adaptive LSNA demonstrated an excellent agreement compared to the conventional ULA. 2007 Conference or Workshop Item PeerReviewed Nik Abd. Malik, Nik Noordini and Esa, Mazlina and Syed Yusof, Sharifah Kamilah (2007) Optimization of adaptive linear sensor node array in wireless sensor network. In: Asia Pacific Microwave Conference 2007, 2007, Singapore. http://dx.doi.org/10.1109/APMC.2009.5385453
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Nik Abd. Malik, Nik Noordini
Esa, Mazlina
Syed Yusof, Sharifah Kamilah
Optimization of adaptive linear sensor node array in wireless sensor network
description This paper presents a method of optimizing sensor node coordination in order to reassign the nodes in linear array arrangement to form a linear antenna array. This linear sensor node array (LSNA) is constructed within random sensor node deployment. The LSNA should be optimized as closely comparable as a conventional uniform linear array (ULA) to minimize the beamforming performance errors. Beamforming has been introduced in wireless sensor networks (WSNs) in order to increase the transmission range of individual sensor nodes. The performance of the two methods: LSNA and ULA are compared in adaptive manner. The results of the constructed adaptive LSNA demonstrated an excellent agreement compared to the conventional ULA.
format Conference or Workshop Item
author Nik Abd. Malik, Nik Noordini
Esa, Mazlina
Syed Yusof, Sharifah Kamilah
author_facet Nik Abd. Malik, Nik Noordini
Esa, Mazlina
Syed Yusof, Sharifah Kamilah
author_sort Nik Abd. Malik, Nik Noordini
title Optimization of adaptive linear sensor node array in wireless sensor network
title_short Optimization of adaptive linear sensor node array in wireless sensor network
title_full Optimization of adaptive linear sensor node array in wireless sensor network
title_fullStr Optimization of adaptive linear sensor node array in wireless sensor network
title_full_unstemmed Optimization of adaptive linear sensor node array in wireless sensor network
title_sort optimization of adaptive linear sensor node array in wireless sensor network
publishDate 2007
url http://eprints.utm.my/id/eprint/14617/
http://dx.doi.org/10.1109/APMC.2009.5385453
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score 13.211869