The Selection of Reference Anchor Nodes and Benchmark Anchor Node in the Localization Algorithm of Wireless Sensor Network

Abstract This paper analyzes the source of the localization error in the least square localization (LSL) algorithm, and introduces the thought of distance clustering to select the reference anchor nodes, and gives a new principle to select the benchmark anchor node. Based on the above analysis, this paper proposes an improved least square localization algorithm based on the distance clustering and the selection of benchmark anchor node (LSL DCRB). Although the improved localization algorithm decreases the number of anchor nodes, the simulation results indicate that the improved localization algorithm can improve the localization precision effectively.