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Hybridized firefly algorithm for multi-objective radio frequency identification (RFID) network planning

Elewe, Adel Muhsin and Hasnan, Khalid and Nawawi , Azli (2017) Hybridized firefly algorithm for multi-objective radio frequency identification (RFID) network planning. ARPN Journal of Engineering and Applied Sciences, 12 (3). pp. 834-840. ISSN 18196608

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Abstract

The RFID network planning (RNP) problem belongs to the large-scale multi-objective hard optimization problems. RNP aims to optimize the overall read region based on a set of objectives. A novel approach of hybrid firefly algorithm was developed for multi-objective RNP problem. The technique was combining the Density Based Clustering method (DBSCAN) and firefly algorithm. Empirical tests were conducted on six standard RFID benchmark sets with random and clustered topologies. A comparative analysis performed with other state-of-the-art algorithms based on the same test data.Simulation results exhibited uniformly better performance in achieving maximum coverage with smaller number of deployed readers and less transmitted power.

Item Type: Article
Uncontrolled Keywords: RFID networks planning; firefly algorithm; BDSCAN
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK6540-6571 Radio
Depositing User: Mr. Mohammad Shaifulrip Ithnin
Date Deposited: 30 Apr 2019 01:08
Last Modified: 30 Apr 2019 01:08
URI: http://eprints.uthm.edu.my/id/eprint/11062
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