An Energy Efficient Localization Strategy using Particle Swarm Optimization in Wireless Sensor Networks

The location information is very important in many wireless sensor network applications where in from which node the data is generated needs to be determined. Therefore it becomes necessary to know the location of each and every sensor that is deployed in the network. In our proposed Localization technique we have deployed static sensors in the geographical area of the network which are used for data gathering process and then tried to estimate the location of the mobile sink which is relocating itself at regular intervals in order to enhance the overall network performances. Some sensors with the known co-ordinates are deployed in the network and using their information the mobile sink will try to estimate its distance from these sensors and then from this compute its own location which is followed by applying a particle swarm optimization algorithm in order to reduce the error accumulation. The simulation of our proposed Localization strategy has been done in the NS-2.32 environment and its performance has been evaluated on the basis of various parameters of wireless sensor network. The simulation results showed a significant amount of improvement on the various performance metrics of the network. Keywords–Localization Strategy, Particle Swarm Optimization (PSO), Received Signal Strength Strategy (RSSIS), Wireless Sensor Network (WSN).