Immune system based redeployment scheme for wireless sensor networks

This paper researches the redeployment scheme for wireless sensor networks that consists of mobile sensor nodes and its nodes random deployment at first, and proposes an artificial immune systems based method to the problem that how to determine a movement plan for the sensor nodes in order to maximize the network coverage and minimize the total distance of sensors moving. The method proposed in this paper contains following steps; first, calculate the optimal positions for sensors according to the application requirements; then using AIS based method to calculate the appropriate positions for sensors to redeploy. In AIS based solution, the antibody is the assignment between nodes and optimal positions; the affinity is the total distance of mobile nodes moving. The simulation results show that the AIS based redeployment scheme (AISRD) can provide a shorter convergence time and less of the total distance than the genetic algorithm (GA) based scheme.