Controlled mobility sensor networks for target tracking using particle swarm optimization

Abstract

In Mobile Sensor Networks (MSN), it is important to manage the mobility of the nodes in order to improve the performance of the network. In Mobile Sensor Networks (MSN), due to the mobility of the nodes it is hard to detect the target during transmission. Multi target tracking for multicasting has been designed to achieve this. The packet has been multicasted using particle swarm optimization. It also supports connectivity with the increased lifetime of the network which is essential for mobile sensor networks. The proposed algorithm reduces the energy consumption of the sensors, each node is assigned one position in the way to minimize the total traveled distance of the nodes. Particle swarm optimization is a population based stochastic optimization technique. It provides a population-based search procedure and getting the best solution from the problem by taking particles and moving them around in the search space.