Abstract: In wireless sensor networks the monte carlo localization（MCL）algorithm for mobile nodes has a relative better accuracy. However the frequent resampling of MCL method for strict filtering brought a lot of calculation which increased the node energy consumption. The received signal strength（RSS）based on the monte carlo localization algorithm was proposed. This algorithm uses the distance between anchor nodes and the measured value of the mobile node to correct the RSS mobile node and each anchor node weights between the narrow the traditional range of monte carlo sampling algorithm. The simulation shows that the method reduces the number of monte carlo sampling range and the communication overhead, and increases the node localization accuracy.