Segmental Selection Path Planning method for mobile sensor network

Scare energy limitations, and absence of computation bring serious challenges for sensor network. Given the mobile sensor network (MSN) with the ability of path planning is the key to maintain the sensor network system work autonomously. We had designed a mobile sensor node with compass to correct the direction of movement: six IR sensors let mobile nodes with the ability of obstacle avoidance. We propose an algorithm called segmental selection path planning (SSPP) method. This algorithm determined the optimal path for reaching the goal with high-efficiency. The sensor network can function the whole system autonomously with these capabilities.