Abstract: For improving the convergence rate and search ability of particle swarm optimization(PSO) localization algorithm for wireless sensor networks(WSNs) ,the non-linear inertia weight and sorting fitness strategies were applied to improve this localization algorithm for nodes localization. Finally, through simulation, the locahcation result of this algorithm was compared with the standard particle swarm optimization algorithm, least-squares method in different anchor node desity, connectivity and measurement error. The results show that this improved algorithm can effectively suppress the ranging-error and improve the convergence rate, and using this method to optimize the localization of sensor nodes is feasible.

Key words: Wireless sensor networks, Improved particle swarm, Nodes localization, Optimization