GbLN-PSO Algorithm for indoor localization in wireless sensor network

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)

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Abstract

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.

Item Type:	Article
Additional Information:	GbLN-PSO Algorithm; indoor localization; wireless sensor network
Subjects:	Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software
Faculty/Division:	Institute of Postgraduate Studies Faculty of Computing
Depositing User:	Miss. Ratna Wilis Haryati Mustapa
Date Deposited:	07 Jul 2021 10:11
Last Modified:	07 Jul 2021 10:12
URI:	http://umpir.ump.edu.my/id/eprint/31629
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