JACIII Vol.18 No.2 pp. 107-112
doi: 10.20965/jaciii.2014.p0107


An Improved Particle Swarm Optimization Deployment for Wireless Sensor Networks

Shuxin Ding, Chen Chen, Jie Chen,
and Bin Xin

School of Automation, Beijing Institute of Technology, Key Laboratory of Intelligent Control and Decision of Complex Systems, 5 Zhong Guan Cun South Street, Haidian District, Beijing 100081, China

May 22, 2013
December 24, 2013
March 20, 2014
wireless sensor networks, deployment, particle swarm optimization, disturbance
This paper addresses the issues associated with deployment of sensors, which are critical in wireless sensor networks. This paper provides an improved particle swarm optimization (PSO) algorithm by changing the basic form of PSO and introducing disturbance (d-PSO). By comparing with other PSO-based algorithms, simulation results show that the d-PSO algorithm provides a good-coverage solution with a satisfying coverage rate in a short time. This feature is especially useful for the rapid deployment of sensors.
Cite this article as:
S. Ding, C. Chen, J. Chen, and B. Xin, “An Improved Particle Swarm Optimization Deployment for Wireless Sensor Networks,” J. Adv. Comput. Intell. Intell. Inform., Vol.18 No.2, pp. 107-112, 2014.
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