Representing an efficient way to optimize coverage of sensors in wireless sensor network

A wireless sensor network (WSN) consists of several sensors in a region that is distributed geographically. Each sensor has features of wireless communication for intelligent signal processing and network communications. In this paper, for optimizing coverage of sensors, Hybridization of Cellular Automata (CA) and Particle Swarm Optimization (PSO) are used. In this model, effective parameters in velocity update and position of each particle is adjusted using PSO and CA. Comparison of results of PSO and the Cellular Particle Swarm Optimization (CPSO) algorithm, shows CPSO superior to PSO algorithm. The experiments have shown that the CPSO algorithm less likely to be trapped in local optimum

Keywords:

Cellular Particle Swarm Optimization , Particle Swarm Optimization , Cellular Automata , Wireless Sensor Network , Optimizing