关键词: 无迹卡尔曼滤波, 接收信号强度（RSS）, 锚节点, 在线建模, 生存周期

Abstract: In WSN anchor node is responsible for receiving GPS signal, but its life is energy constrained. In order to improve the life cycle and the positioning accuracy of sensor networks, UKF-RSS online modeling based WSN location tracking algorithm is proposed, to achieve efficient resource management and use patterns. The algorithm mainly includes target prediction and target location. The UKF algorithm is used to predict the next location of the target node, and select the last few anchor nodes of the prediction position, close the useless anchor node, which effectively reduce the energy consumption of the network. Then it uses the anchor node between the signal intensity of RSS modeling of the distance from the RSS signal strength between open around the anchor nodes based on RSS algorithm, which reduces dependence on the environment. The experimental results show that the algorithm can effectively manage the anchor node open/sleep, and can reduce the environmental dependence, so as to achieve load balance and reduce energy consumption and improve the positioning precision effect.

Key words: Unscented Kalmal Filter（UKF）, Received Signal Strength（RSS）, anchor node, online modeling, life cycle