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Indoor localization system using particle swarm optimization


Citation

Alhammadi, Abdulraqeb Shaif Ahmed and Hashim, Fazirulhisyam and Shami, Tareq M. (2015) Indoor localization system using particle swarm optimization. In: 1st ICRIL-International Conference on Innovation in Science and Technology (IICIST 2015), 20 Apr. 2015, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia. (pp. 574-577).

Abstract / Synopsis

Tracking the user location in indoor environment becomes substantial issue in recent research. Location based services have been used in many mobile applications as well as wireless sensor networks. One of the techniques that are used in localization systems is particle swarm optimization (PSO). This technique is a stochastic optimization based on the movement and velocity of particles. In this paper, we introduce an algorithm using PSO for indoor localization system. The suggested algorithm is called circular PSO (CPSO) which depends on the distribution of the particles at each access point. The simulation results show the effectiveness of the suggest algorithm on average location error.


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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Engineering
Keywords: Indoor localization system; Particle swarm optimization; Euclidean distance
Depositing User: Nabilah Mustapa
Date Deposited: 04 Mar 2019 08:33
Last Modified: 04 Mar 2019 08:33
URI: http://psasir.upm.edu.my/id/eprint/66805
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