Abstract:A beacon node selection scheme and a DV-Hop localization algorithm based on hop weighted are proposed to improve the positioning performance in this paper. First of all, by setting a threshold value of signal propagation hop, the beacon nodes whose propagation hop are fewer are retained. Then, a beacon node optimization is followed to eliminate unfavourable beacon nodes which are approximately in a line to avoid positioning failure. Besides, based on the relationship between distance estimation error and signal propagation hop derived from Friis model, the hop weighted localization algorithm is obtained. It uses the signal propagation hop as the weighted factors to modify the positioning result that gained through maximum likelihood estimation, which reduces the effect on positioning accuracy brought by distance estimation error. The flow chart of the proposed algorithm is presented at last. The simulation results show that the proposed method can improve the positioning accuracy by 3%~5%.