DV-Hop Node Localization Algorithm Based on Improved Particle Swarm Optimization

摘要

In order to further improve the positioning precision of the DV-Hop node localization algorithm in wireless sensor network (WSN), this paper proposes a modified particle swarm algorithm (MPSO) to optimize the result. The algorithm is based on particle swarm optimization algorithm, meanwhile overcomes the disadvantage of the PSO easily falling in local optimum. To adaptively balance local search capability and global search capability, MPSO updates each particle's inertia weight and acceleration coefficients self-adaptive, and sorts the particles. The simulation results show that the average localization error is lower than the standard DV-Hop algorithm and the DV-Hop algorithm based on PSO algorithm (PDV-Hop).