An Improved approach for localization in wireless sensor networks Using PSO algorithm.
After setting up a wireless sensor network, the first problem we face is the localization of sensors. Researchers have proposed a lot of techniques to solve the localization problem, but the precision resulting of these existing techniques still needs to be improved. In this paper, we propose a modified approach for improved the precision of localization in WSN, based on particle swarm optimization (PSO) it is one of the most successful metaheuristic inspired from nature for optimize research in a multidimensional space. We adapt the PSO algorithm to search about the coordinates of unknown sensors, randomly distributed in a two-dimensional environment. We simulated our proposed model in the MATLAB simulation environment, then in order to prove the success of our proposed approach, we conducted an analytical study in one of our experiments we compared this approach with Simulated Annealing. The obtained results showed the effect of network configuration and the number of particles used on our proposed approach on the one hand, and demonstrated its superiority to simulated annealing on the other hand.