Mobile Sink Data Gathering Technique for Wireless Sensor Networks using PSO

To overcome the challenges of Data gathering and enhancement of lifetime of mobile nodes we propose a new data gathering technique with multiple mobile sinks based on particle swarm optimization (PSO) technique. Particle changes its condition according to the following three principles in the basic particle swarm optimization algorithm: (1) to keep its inertia (2) to change the condition according to its most optimist position (3) to change the condition according to the swarm is most optimist position. We apply PSO technique that finds the current optimal trajectory in the sub-trees for the RP selection. Moreover, by applying the splitting-tree technique, we get the global optimal length constrained trajectory.