Abstract: An integrated algorithm based on DV-Hop was designed. A Location Correction Vector（LCV）was constructed by the differences between estimated distances and range measurements. Nodes were clustered when the anchors were the heads of clusters, object function expressing total distances error was constructed in a cluster, Particle Swarm Optimization (PSO) was used to solve the minimization problem, and then correction steps of all member nodes were obtained. The value of location correction equaled the product of LCV and steps, then extra location correction had been executed by using the relative positions among edge nodes of neighbor clusters. Simulation results show that the localization error of DV-Hop is reduced by 75%, and it is also applicable to low-density networks.