Adaptive multi-sensor collaborative strategy for target tracking in WSNs
WSNs下一种自适应多传感器协同目标跟踪策略*

Proposed an adaptive multi-sensor collaborative strategy for maneuvering target tracking in WSNs .According to the position of the maneuvering target, some sensor nodes in WSNs were awaken to activate a sensor cluster for target tracking dynamically. At the same time, selected the head sensor of the cluster and decided the sample interval. Improved the tracking accuracy by dynamic collaboration and measurement information fusion of the sensor nodes. Besides, saved the communication energy and computation resource by adaptive changing sample interval, and satisfied the real-time property. This paper presented the balanced distribution of energy in WSNs to improve the reliability of the network. Employed the IMM filter to estimate the target states due to nonlinear models and the maneuvering movement of the target. The simulation shows that the tracking accuracy of the proposed algorithm is improved compared with NSSS and DGSS, and it has a superior performance in saving energy over DCSS, with the tracking accuracy guaranteed.