Evoluation strategy for collaborative beamforming in wireless sensor networks

The aim of this research is to improve the efficiency of the phase synchronisation algorithm in order to achieve collaborative beamforming (CB) in wireless sensor networks (WSNs). Generally, CB uses a group of distributed wireless sensor nodes, which collectively transmit a common message with diffe...

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Main Author:	Wong, Chen How
Format:	Thesis
Language:	English English
Published:	2013
Subjects:	TK7800-8360 Electronics
Online Access:	https://eprints.ums.edu.my/id/eprint/38184/1/24%20PAGES.pdf https://eprints.ums.edu.my/id/eprint/38184/2/FULLTEXT.pdf
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id	my-ums-ep.38184
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spelling	my-ums-ep.381842024-02-09T03:10:57Z Evoluation strategy for collaborative beamforming in wireless sensor networks 2013 Wong, Chen How TK7800-8360 Electronics The aim of this research is to improve the efficiency of the phase synchronisation algorithm in order to achieve collaborative beamforming (CB) in wireless sensor networks (WSNs). Generally, CB uses a group of distributed wireless sensor nodes, which collectively transmit a common message with different proper weights to an intended location. This group of distributed wireless sensor nodes intrinsically act as a set of virtual antenna array and inherit the natural highly directional transmission properties from conventional antenna array. However, distinct of conventional antenna array, each sensor node in CB has an independent local oscillator. It becomes a vital problem to achieve CB as the distributed sensor nodes are unaware of their phase relationship. An iterative algorithm using evolution strategy (ES) is proposed to achieve phase alignment at the intended location in static channels, which require one-bit feedback from the receiver destination. By implementing ES in phase synchronisation, each sensor node independently adjusts its phase perturbation size accordingly to speed up the phase synchronisation. Evaluations have been carried out through simulation and result show that the performance using ES is improved by 18. 7 % convergence speed as compared to the conventional one-bit feedback (C1BF) approach. In addition, inverse phase perturbation is introduced for the improved ES (IES) which further improved the convergence speed by 31.6 % over the C1BF approach. Adaptive-JES is proposed for time-varying channels and the results show that the Adaptive-JES has the ability to detect channel changes. Therefore, it can be concluded that the proposed algorithm is robust in practical implementation. 2013 Thesis https://eprints.ums.edu.my/id/eprint/38184/ https://eprints.ums.edu.my/id/eprint/38184/1/24%20PAGES.pdf text en public https://eprints.ums.edu.my/id/eprint/38184/2/FULLTEXT.pdf text en validuser masters Universiti Malaysia Sabah Sekolah Kejuruteraan dan Teknologi Maklumat
institution	Universiti Malaysia Sabah
collection	UMS Institutional Repository
language	English English
topic	TK7800-8360 Electronics
spellingShingle	TK7800-8360 Electronics Wong, Chen How Evoluation strategy for collaborative beamforming in wireless sensor networks
description	The aim of this research is to improve the efficiency of the phase synchronisation algorithm in order to achieve collaborative beamforming (CB) in wireless sensor networks (WSNs). Generally, CB uses a group of distributed wireless sensor nodes, which collectively transmit a common message with different proper weights to an intended location. This group of distributed wireless sensor nodes intrinsically act as a set of virtual antenna array and inherit the natural highly directional transmission properties from conventional antenna array. However, distinct of conventional antenna array, each sensor node in CB has an independent local oscillator. It becomes a vital problem to achieve CB as the distributed sensor nodes are unaware of their phase relationship. An iterative algorithm using evolution strategy (ES) is proposed to achieve phase alignment at the intended location in static channels, which require one-bit feedback from the receiver destination. By implementing ES in phase synchronisation, each sensor node independently adjusts its phase perturbation size accordingly to speed up the phase synchronisation. Evaluations have been carried out through simulation and result show that the performance using ES is improved by 18. 7 % convergence speed as compared to the conventional one-bit feedback (C1BF) approach. In addition, inverse phase perturbation is introduced for the improved ES (IES) which further improved the convergence speed by 31.6 % over the C1BF approach. Adaptive-JES is proposed for time-varying channels and the results show that the Adaptive-JES has the ability to detect channel changes. Therefore, it can be concluded that the proposed algorithm is robust in practical implementation.
format	Thesis
qualification_level	Master's degree
author	Wong, Chen How
author_facet	Wong, Chen How
author_sort	Wong, Chen How
title	Evoluation strategy for collaborative beamforming in wireless sensor networks
title_short	Evoluation strategy for collaborative beamforming in wireless sensor networks
title_full	Evoluation strategy for collaborative beamforming in wireless sensor networks
title_fullStr	Evoluation strategy for collaborative beamforming in wireless sensor networks
title_full_unstemmed	Evoluation strategy for collaborative beamforming in wireless sensor networks
title_sort	evoluation strategy for collaborative beamforming in wireless sensor networks
granting_institution	Universiti Malaysia Sabah
granting_department	Sekolah Kejuruteraan dan Teknologi Maklumat
publishDate	2013
url	https://eprints.ums.edu.my/id/eprint/38184/1/24%20PAGES.pdf https://eprints.ums.edu.my/id/eprint/38184/2/FULLTEXT.pdf
_version_	1794022709001191424

Evoluation strategy for collaborative beamforming in wireless sensor networks

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