Accurate range free localization in multi-hop wireless sensor networks

To localize wireless sensor networks (WSN)s nodes, only the hop-based data have been so far utilized by range free techniques, with poor-accuracy, though. In this thesis, we show that localization accuracy may importantly advantage from mutual utilization, at no cost, of the information already offe...

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Main Author:	Abdulwahhab, Abdullah Raed
Format:	Thesis
Language:	English English English
Published:	2019
Subjects:	TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television
Online Access:	http://eprints.uthm.edu.my/424/1/24p%20ABDULLAH%20RAED%20ABDULWAHHAB.pdf http://eprints.uthm.edu.my/424/2/ABDULLAH%20RAED%20ABDULWAHHAB%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/424/3/ABDULLAH%20RAED%20ABDULWAHHAB%20WATERMARK.pdf
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id	my-uthm-ep.424
record_format	uketd_dc
spelling	my-uthm-ep.4242021-07-25T02:55:20Z Accurate range free localization in multi-hop wireless sensor networks 2019-12 Abdulwahhab, Abdullah Raed TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television To localize wireless sensor networks (WSN)s nodes, only the hop-based data have been so far utilized by range free techniques, with poor-accuracy, though. In this thesis, we show that localization accuracy may importantly advantage from mutual utilization, at no cost, of the information already offered by the advancing nodes (i.e., relays) between all anchors (i.e., position-aware) and sensor nodes join up. In addition, energy-based informant localization approaches are generally established corresponding to the channel path-loss models in which the noise is mostly expected to shadow Gaussian distributions. In this thesis, we signify the applied additive noise by the Gaussian mixture model and improve a localization algorithm depend on the received signal intensity to attain the greatest likelihood location, estimator. By employing Jensen’s inequality and semidefinite relaxation, the originally offered nonlinear and nonconvex estimator is relaxed into a convex optimization difficulty, which is able to be professionally resolved to acquire the totally best solution. Moreover, the resultant Cramer–Rao lower bound is originated for occurrence comparison. Simulation and experimental results show a substantial performance gain achieved by our proposed localization algorithm in wireless sensor networks. The performance is evaluated in terms of RMSE in terms of three algorithms WLS, CRLR, and GMSDP based on using the Monte Carlo simulation with account the number of anchors that varying from anchor=4 to anchor =20. Finally, the GMSDP- algorithm achieves and provides a better value of RMSEs and the greatest localization estimation errors comparing with the CRLR algorithm and WLS algorithm. 2019-12 Thesis http://eprints.uthm.edu.my/424/ http://eprints.uthm.edu.my/424/1/24p%20ABDULLAH%20RAED%20ABDULWAHHAB.pdf text en public http://eprints.uthm.edu.my/424/2/ABDULLAH%20RAED%20ABDULWAHHAB%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/424/3/ABDULLAH%20RAED%20ABDULWAHHAB%20WATERMARK.pdf text en validuser mphil masters Universiti Tun Hussein Onn Malaysia Fakulti Kejuruteraan Elektrik dan Elektronik
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English English English
topic	TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television
spellingShingle	TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television Abdulwahhab, Abdullah Raed Accurate range free localization in multi-hop wireless sensor networks
description	To localize wireless sensor networks (WSN)s nodes, only the hop-based data have been so far utilized by range free techniques, with poor-accuracy, though. In this thesis, we show that localization accuracy may importantly advantage from mutual utilization, at no cost, of the information already offered by the advancing nodes (i.e., relays) between all anchors (i.e., position-aware) and sensor nodes join up. In addition, energy-based informant localization approaches are generally established corresponding to the channel path-loss models in which the noise is mostly expected to shadow Gaussian distributions. In this thesis, we signify the applied additive noise by the Gaussian mixture model and improve a localization algorithm depend on the received signal intensity to attain the greatest likelihood location, estimator. By employing Jensen’s inequality and semidefinite relaxation, the originally offered nonlinear and nonconvex estimator is relaxed into a convex optimization difficulty, which is able to be professionally resolved to acquire the totally best solution. Moreover, the resultant Cramer–Rao lower bound is originated for occurrence comparison. Simulation and experimental results show a substantial performance gain achieved by our proposed localization algorithm in wireless sensor networks. The performance is evaluated in terms of RMSE in terms of three algorithms WLS, CRLR, and GMSDP based on using the Monte Carlo simulation with account the number of anchors that varying from anchor=4 to anchor =20. Finally, the GMSDP- algorithm achieves and provides a better value of RMSEs and the greatest localization estimation errors comparing with the CRLR algorithm and WLS algorithm.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Abdulwahhab, Abdullah Raed
author_facet	Abdulwahhab, Abdullah Raed
author_sort	Abdulwahhab, Abdullah Raed
title	Accurate range free localization in multi-hop wireless sensor networks
title_short	Accurate range free localization in multi-hop wireless sensor networks
title_full	Accurate range free localization in multi-hop wireless sensor networks
title_fullStr	Accurate range free localization in multi-hop wireless sensor networks
title_full_unstemmed	Accurate range free localization in multi-hop wireless sensor networks
title_sort	accurate range free localization in multi-hop wireless sensor networks
granting_institution	Universiti Tun Hussein Onn Malaysia
granting_department	Fakulti Kejuruteraan Elektrik dan Elektronik
publishDate	2019
url	http://eprints.uthm.edu.my/424/1/24p%20ABDULLAH%20RAED%20ABDULWAHHAB.pdf http://eprints.uthm.edu.my/424/2/ABDULLAH%20RAED%20ABDULWAHHAB%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/424/3/ABDULLAH%20RAED%20ABDULWAHHAB%20WATERMARK.pdf
_version_	1747830606712012800

Accurate range free localization in multi-hop wireless sensor networks

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