PSO Algorithm Based Optimization of Network Coverage in Wireless Sensor Network

Wireless sensor network has the self-monitoring functionality which is also an intelligent network system. It consists of sensor nodes which are low-cost, low-power and small size. They communicate with each other to perform sensing and data processing. Network coverage has an important role in the system’s lifetime. In this paper particle swarm optimization algorithm was used to optimize the network coverage. MATLAB was used as a tool to apply the algorithm. The probability sensing model is used to optimize area coverage of wireless sensor network in this paper. Coverage problem also arises because of the randomly deployed sensors. The sensors need to be placed in a position such that the sensing capability of the network is fully utilized to get maximum coverage. This paper also shows that optimal positioned sensor nodes gives good result compared to randomly deployed sensor nodes.