Incorporate Intelligent Computation into Coverage Optimization for Wireless Sensor Networks

Due to the fact that it plays an important role to improve the connectivity and coverage of Wireless Sensor Networks, it is considered to be efficient to improve the coverage by artificially deploying the critical Sink nodes. In this paper, we use Particle Swarm Optimizer algorithm to find out the best position of sink nodes deployment in the whole network area and then optimize the Wireless Sensor Network by adding sink nodes after generating a quantity of nodes to constitute Wireless Sensor Networks at random. Hereafter, by simulation based on a random network to prove that : (1) intelligent algorithms are worthy of considering and efficiently to be utilized in the network topological deployment and keeping the network integrity, (2) the Partial Swarm Optimization is much algorithmically easier and reliable, (3) Intelligent computation is a kind of optimal methodology to improve the network integrity.