Coverage-Enhancing algorithm for video sensor network based on improved particle swarm optimization
- 10.2991/isrme-15.2015.95How to use a DOI?
- Video sensor networks; Sensing coverage; Particle swarm optimization (PSO)
The parameters of traditional particle swarm optimization (PSO) methods are unchangeable, which may lead to the iterations have slow convergence speed or unable to converge to global optimum. In this paper, improved PSO algorithm is applied to the coverage of video sensor network. Through improving inertia factors of PSO, the algorithm has great local search ability thus can avoid converging to local optimum value, and it can converge quickly to the global optimum value. Experiment results show that the proposed method has faster convergence speed and better coverage rate than traditional method based on PSO.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xiang Fu AU - Jiexian Zeng PY - 2015/04 DA - 2015/04 TI - Coverage-Enhancing algorithm for video sensor network based on improved particle swarm optimization BT - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering PB - Atlantis Press SP - 446 EP - 450 SN - 1951-6851 UR - https://doi.org/10.2991/isrme-15.2015.95 DO - 10.2991/isrme-15.2015.95 ID - Fu2015/04 ER -