Siew, Zhan Wei and Wong, Chen How and Chin, Chia Seet and Aroland M'Conie Jilui Kiring and Teo, Kenneth Tze Kin (2012) Cluster heads distribution of wireless sensor networks via adaptive particle swarm optimization. In: 2012 4th International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2012, 24-26 July 2012, Phuket, Thailand.
Full text not available from this repository.Abstract
Wireless sensor networks consists of hundreds or thousands of sensor nodes supported by small capacity battery. For environmental monitoring purposes, sensor nodes must have high endurance capabilities. Therefore, selecting suitable cluster heads (CH) location becomes a challenging issue. In this work, cluster heads distribution based on adaptive particle swarm (PSO) is proposed. PSO is one of the swarm intelligence methods designed to find optimum solution by mimicking the behavior of bird flocking and fish schooling. Adaptive cognitive and social learning factor can achieve better convergence speed and particles reselection mechanism can reduce the chances of getting trapped in local maximum. The performance of the proposed method is compared with low energy adaptive cluster hierarchical (LEACH). Simulation result shows that proposed method outperforms LEACH in terms of first node die (FND) round, total data received by base station and energy consume per round.
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Keyword: | Cluster head, Clustering, LEACH, Particle swarm optimization |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering > TK7800-8360 Electronics |
| Department: | SCHOOL > School of Engineering and Information Technology |
| Depositing User: | ADMIN ADMIN |
| Date Deposited: | 01 Nov 2012 15:06 |
| Last Modified: | 01 Nov 2012 15:07 |
| URI: | https://eprints.ums.edu.my/id/eprint/5298 |
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