A Self-organizing Bearings-only Target Tracking Algorithm in Wireless Sensor Network
In the beatings-only target tracking, wireless sensor network (WSN) collects observations of the target direction at various nodes and uses an adaptive filter to combine them for target tracking. An efficient network management is necessary to gain an optimal tradeoff between locating accuracy and energy consumption. This article proposes a self-organizing target tracking algo-rithm to select the most beneficial subset of nodes to track the target at every snapshot. Compared with traditional methods, this scheme avoids the need for keeping global position information of the network as in greedy selection. Each node judges its fu-ture usefulness depending on the knowledge of its own position and using simple mathematics computation. Simulations indicate that this scheme has locating accuracy comparable to the global greedy algorithm. Also, it has good robustness against node fail-ure and autonomous adaptability to the change of the network scale. Furthermore, this algorithm consumes limited energy be-cause only a portion of nodes partakes in the selection at every snapshot.
作 者： Xu Zhen Rui Liyang 作者单位： School of Electronics and Information Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China 刊 名： 中国航空学报（英文版） ISTIC 英文刊名： CHINESE JOURNAL OF AERONAUTICS 年，卷(期)： 2009 22(6) 分类号： V2 关键词： direction of arrival Kalman filtering tracking wireless sensor network