Aiming at the problem of node localization in wireless sensor networks（WSNs）

the distributed iterative localization method research of WSNs is described.Once the nodes get localized

they act as references for the rest of nodes.The ranging-based localization problem is formulated as a multi-dimensional optimization issue

and the quantum-behaved particle swarm optimization algorithm（QPSO） which has quick convergence ability is used for solutions.The simulation results are compared with the particle swarm optimization（PSO） algorithm

it shows that QPSO algorithm outperforms the PSO algorithm and improve the node localization precision effectively

which improves the validity of the presented method.