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 1819-6608
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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 > TK7800-8360 Electronics |
| Divisions: | Faculty of Mechanical and Manufacturing Engineering > Department of Mechanical Engineering |
| Depositing User: | Miss Nur Rasyidah Rosli |
| Date Deposited: | 21 Nov 2021 03:37 |
| Last Modified: | 21 Nov 2021 03:37 |
| URI: | http://eprints.uthm.edu.my/id/eprint/3616 |
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