GbLN-PSO Algorithm for indoor localization in wireless sensor network

Localization is one of the issue in Wireless Sensor Network (WSN). The problem is the estimation error in the localization of the node. In this paper, we propose an indoor localization in WSN based on Global best Local Neighbourhood Particle Swarm Optimization (GbLN-PSO) algorithm. Three anchors are...

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Main Authors: M. Shahkhir, Mozamir, Rohani, Abu Bakar, Wan Isni Soffiah, Wan Din, Zalili, Musa
Format: Article
Language:English
Published: IOP Publishing 2020
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/31629/
http://umpir.ump.edu.my/id/eprint/31629/1/Shahkhir_Mozamir_2020_IOP_Conf._Ser.%20_Mater._Sci._Eng._769_012033.pdf
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author M. Shahkhir, Mozamir
Rohani, Abu Bakar
Wan Isni Soffiah, Wan Din
Zalili, Musa
author_facet M. Shahkhir, Mozamir
Rohani, Abu Bakar
Wan Isni Soffiah, Wan Din
Zalili, Musa
author_sort M. Shahkhir, Mozamir
building UMP Institutional Repository
collection Online Access
description Localization is one of the issue in Wireless Sensor Network (WSN). The problem is the estimation error in the localization of the node. In this paper, we propose an indoor localization in WSN based on Global best Local Neighbourhood Particle Swarm Optimization (GbLN-PSO) algorithm. Three anchors are used as the distance measurement for each unknown node to be localized. A comparison of the performances of PSO and GbLN-PSO in terms of localization error (accuracy) and computation time is presenting using simulation in Matlab. The result shows that GbLN-PSO improved the accuracy approximately by 0.01% and reduced the computational time by 86.02% compared to PSO technique.
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spelling ump-316292021-07-07T10:12:32Z http://umpir.ump.edu.my/id/eprint/31629/ GbLN-PSO Algorithm for indoor localization in wireless sensor network M. Shahkhir, Mozamir Rohani, Abu Bakar Wan Isni Soffiah, Wan Din Zalili, Musa QA Mathematics QA75 Electronic computers. Computer science QA76 Computer software Localization is one of the issue in Wireless Sensor Network (WSN). The problem is the estimation error in the localization of the node. In this paper, we propose an indoor localization in WSN based on Global best Local Neighbourhood Particle Swarm Optimization (GbLN-PSO) algorithm. Three anchors are used as the distance measurement for each unknown node to be localized. A comparison of the performances of PSO and GbLN-PSO in terms of localization error (accuracy) and computation time is presenting using simulation in Matlab. The result shows that GbLN-PSO improved the accuracy approximately by 0.01% and reduced the computational time by 86.02% compared to PSO technique. IOP Publishing 2020 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/31629/1/Shahkhir_Mozamir_2020_IOP_Conf._Ser.%20_Mater._Sci._Eng._769_012033.pdf M. Shahkhir, Mozamir and Rohani, Abu Bakar and Wan Isni Soffiah, Wan Din and Zalili, Musa (2020) GbLN-PSO Algorithm for indoor localization in wireless sensor network. Materials Science and Engineering, 769 (012033). pp. 1-9. ISSN 1757-899X. (Published) https://iopscience.iop.org/journal/1757-899X doi:10.1088/1757-899X/769/1/012033
spellingShingle QA Mathematics
QA75 Electronic computers. Computer science
QA76 Computer software
M. Shahkhir, Mozamir
Rohani, Abu Bakar
Wan Isni Soffiah, Wan Din
Zalili, Musa
GbLN-PSO Algorithm for indoor localization in wireless sensor network
title GbLN-PSO Algorithm for indoor localization in wireless sensor network
title_full GbLN-PSO Algorithm for indoor localization in wireless sensor network
title_fullStr GbLN-PSO Algorithm for indoor localization in wireless sensor network
title_full_unstemmed GbLN-PSO Algorithm for indoor localization in wireless sensor network
title_short GbLN-PSO Algorithm for indoor localization in wireless sensor network
title_sort gbln-pso algorithm for indoor localization in wireless sensor network
topic QA Mathematics
QA75 Electronic computers. Computer science
QA76 Computer software
url http://umpir.ump.edu.my/id/eprint/31629/
http://umpir.ump.edu.my/id/eprint/31629/
http://umpir.ump.edu.my/id/eprint/31629/
http://umpir.ump.edu.my/id/eprint/31629/1/Shahkhir_Mozamir_2020_IOP_Conf._Ser.%20_Mater._Sci._Eng._769_012033.pdf