An Improved RPSO Algorithm for WSNs Non-uniform Deployment

The deployment problem in wireless sensor networks is considered as one of the most fundamental challenges. The research of sensor network node deployment technology has extremely important theoretical and practical value. When the target area has a non-uniform coverage requirement, the difficulty of deployment is increased. This paper focuses on the deployment of sensor nodes in a non-uniform target area. We proposed an improved algorithm CCRPSO, using cooperative coevolutionary framework with RPSO, and give time-varying nonlinear inertia weight and learning factors. The node deployment scheme is maximize the coverage rate and minimize the energy consumption. The experiment shows that the algorithm can effectively solve the optimization problem in wireless sensor network non-uniform deployment.