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Effect of parameters variation on the performance of particle swarm optimization algorithm for tag coverage problem of radio frequency identification network

Nawawi, Azli and Hasnan, Khalid and Ngali, Mohd Zamani and Sidek, Noor Azizah (2015) Effect of parameters variation on the performance of particle swarm optimization algorithm for tag coverage problem of radio frequency identification network. In: Engineering Technology International Conference 2015, 10-11 August 2015, Kuta, Bali, Indonesia.

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Abstract

Optimal tag coverage is the most crucial aspect for deploying RFID (Radio Frequency Identification) system in a large scale. From the literature, optimal tag coverage can be considered as a high dimensional optimization problem and often solved using nature-inspired algorithms. In this paper, PSO (Particle Swarm Optimization) algorithm is used to optimize the tag coverage problem. This paper also investigates the effect of varying two parameters of PSO (swarm size and iteration number) to the performance of the algorithm. Both parameters are set at 50, 100, 150 and 200. From the experiment, the best set of results is generated when the swarm size is set at 200 and the iteration number is at 50. This is a good sign because for the iteration number at 50, the runtime is much less (4.9s) compared to the higher iteration numbers (100, 150 and 200). The percentages for additional runtimes for iteration number set at 100, 150 and 200 are 103%, 204% and 341% respectively

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics
Divisions: Faculty of Mechanical and Manufacturing Engineering > Department of Manufacturing and Industrial Engineering
Depositing User: Mrs. Nurhayati Ali
Date Deposited: 06 Oct 2015 07:30
Last Modified: 06 Oct 2015 07:30
URI: http://eprints.uthm.edu.my/id/eprint/7344
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