A novel self-adaptive localization algorithm based on difference for wireless sensor network

In this paper, we introduce an improved self-adaptive localization algorithm based on DV-HOP for the node localization in wireless sensor network. We firstly divide the sensing area into several small regions according to the density of unknown nodes. Then, the beacon nodes are distributed within the sensing area in a reasonable manner, based on DV-HOP algorithm and combined with RSSI. The measured errors of estimated location in beacon nodes are considered as the adjusted values and broadcasted to the adjacent nodes. Based on the broadcasted adjusted values, the unknown nodes adjust their relative information of position. Simulation results demonstrate that the accuracy of node localization is greatly increased with the proposed algorithm.