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:
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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author Abdulwahhab, Abdullah Raed
author_facet Abdulwahhab, Abdullah Raed
author_sort Abdulwahhab, Abdullah Raed
collection UTHM
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.
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spelling uthm.eprints-4242021-07-25T02:55:20Z http://eprints.uthm.edu.my/424/ Accurate range free localization in multi-hop wireless sensor networks 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 NonPeerReviewed text en http://eprints.uthm.edu.my/424/1/24p%20ABDULLAH%20RAED%20ABDULWAHHAB.pdf text en http://eprints.uthm.edu.my/424/2/ABDULLAH%20RAED%20ABDULWAHHAB%20COPYRIGHT%20DECLARATION.pdf text en http://eprints.uthm.edu.my/424/3/ABDULLAH%20RAED%20ABDULWAHHAB%20WATERMARK.pdf Abdulwahhab, Abdullah Raed (2019) Accurate range free localization in multi-hop wireless sensor networks. Masters thesis, Universiti Tun Hussein Onn Malaysia.
spellingShingle TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Abdulwahhab, Abdullah Raed
Accurate range free localization in multi-hop wireless sensor networks
title 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_short Accurate range free localization in multi-hop wireless sensor networks
title_sort accurate range free localization in multi hop wireless sensor networks
topic TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
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
work_keys_str_mv AT abdulwahhababdullahraed accuraterangefreelocalizationinmultihopwirelesssensornetworks