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Intelligent linear collaborative beamforming for multi-objective radiation beam pattern in wireless sensor networks

Collaborative beamforming (CB) in wireless sensor networks (WSNs) promises improvement of communication performance and energy efficiency. The random distribution sensor nodes location within WSNs can introduce random beampattern mostly in the sidelobe region. In addition, higher energy consumption...

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Main Authors:	Nik Abd. Malik, Nik Noordini, Esa, Mazlina, Syed Yusof, Sharifah Kamilah, Abdul Latiff, Nurul Mu'azzah
格式:	Article
出版:	Institute of Advanced Engineering and Science 2014
主题:	TK Electrical engineering. Electronics Nuclear engineering
在线阅读:	http://eprints.utm.my/id/eprint/59803/ http://ijeecs.iaescore.com/index.php/IJEECS/article/view/3881
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id	my.utm.59803
record_format	eprints
spelling	my.utm.598032022-04-26T04:07:38Z http://eprints.utm.my/id/eprint/59803/ Intelligent linear collaborative beamforming for multi-objective radiation beam pattern in wireless sensor networks Nik Abd. Malik, Nik Noordini Esa, Mazlina Syed Yusof, Sharifah Kamilah Abdul Latiff, Nurul Mu'azzah TK Electrical engineering. Electronics Nuclear engineering Collaborative beamforming (CB) in wireless sensor networks (WSNs) promises improvement of communication performance and energy efficiency. The random distribution sensor nodes location within WSNs can introduce random beampattern mostly in the sidelobe region. In addition, higher energy consumption can occur as the randomness permits the generation of high peaks in radiation beampattern performance. Therefore, selecting a suitable spatial sensor node distribution is a challenge especially for WSNs. Collaborative sensor nodes in random deployment which performs as linear antenna array (LAA) can influence the radiation beampattern. However, it leads to the degradation of LAA and WSNs performances. Hence, an optimum algorithm for implementing CB method should be designed that takes into consideration not only the beampattern performance, but also the geometrical location of selected active nodes which cooperatively form an array antenna. In this article, a new algorithm known as intelligent linear sensor node array (ILSA) is presented. It is developed through the application of the proposed hybrid least square improved particle swarm optimization (HLPSO) algorithm. The newly proposed ILSA is constructed by means of collaborative nodes selection. The size of side lobe level (SLL) can vary significantly with desired multi-objectives. Simulation results obtained showed significant improved performance of the radiation beampattern. Thus, this motivates for exploiting the newly-developed optimum method in node geometrical location strategies of WSNs. Institute of Advanced Engineering and Science 2014-10 Article PeerReviewed Nik Abd. Malik, Nik Noordini and Esa, Mazlina and Syed Yusof, Sharifah Kamilah and Abdul Latiff, Nurul Mu'azzah (2014) Intelligent linear collaborative beamforming for multi-objective radiation beam pattern in wireless sensor networks. TELKOMNIKA Indonesian Journal of Electrical Engineering, 12 (10). pp. 7318-7329. ISSN 2302-4046 http://ijeecs.iaescore.com/index.php/IJEECS/article/view/3881
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 Abdul Latiff, Nurul Mu'azzah Intelligent linear collaborative beamforming for multi-objective radiation beam pattern in wireless sensor networks
description	Collaborative beamforming (CB) in wireless sensor networks (WSNs) promises improvement of communication performance and energy efficiency. The random distribution sensor nodes location within WSNs can introduce random beampattern mostly in the sidelobe region. In addition, higher energy consumption can occur as the randomness permits the generation of high peaks in radiation beampattern performance. Therefore, selecting a suitable spatial sensor node distribution is a challenge especially for WSNs. Collaborative sensor nodes in random deployment which performs as linear antenna array (LAA) can influence the radiation beampattern. However, it leads to the degradation of LAA and WSNs performances. Hence, an optimum algorithm for implementing CB method should be designed that takes into consideration not only the beampattern performance, but also the geometrical location of selected active nodes which cooperatively form an array antenna. In this article, a new algorithm known as intelligent linear sensor node array (ILSA) is presented. It is developed through the application of the proposed hybrid least square improved particle swarm optimization (HLPSO) algorithm. The newly proposed ILSA is constructed by means of collaborative nodes selection. The size of side lobe level (SLL) can vary significantly with desired multi-objectives. Simulation results obtained showed significant improved performance of the radiation beampattern. Thus, this motivates for exploiting the newly-developed optimum method in node geometrical location strategies of WSNs.
format	Article
author	Nik Abd. Malik, Nik Noordini Esa, Mazlina Syed Yusof, Sharifah Kamilah Abdul Latiff, Nurul Mu'azzah
author_facet	Nik Abd. Malik, Nik Noordini Esa, Mazlina Syed Yusof, Sharifah Kamilah Abdul Latiff, Nurul Mu'azzah
author_sort	Nik Abd. Malik, Nik Noordini
title	Intelligent linear collaborative beamforming for multi-objective radiation beam pattern in wireless sensor networks
title_short	Intelligent linear collaborative beamforming for multi-objective radiation beam pattern in wireless sensor networks
title_full	Intelligent linear collaborative beamforming for multi-objective radiation beam pattern in wireless sensor networks
title_fullStr	Intelligent linear collaborative beamforming for multi-objective radiation beam pattern in wireless sensor networks
title_full_unstemmed	Intelligent linear collaborative beamforming for multi-objective radiation beam pattern in wireless sensor networks
title_sort	intelligent linear collaborative beamforming for multi-objective radiation beam pattern in wireless sensor networks
publisher	Institute of Advanced Engineering and Science
publishDate	2014
url	http://eprints.utm.my/id/eprint/59803/ http://ijeecs.iaescore.com/index.php/IJEECS/article/view/3881
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score	13.251813

Intelligent linear collaborative beamforming for multi-objective radiation beam pattern in wireless sensor networks

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