为了满足无线传感器网络的目标跟踪性能要求，解决节点能量消耗不均衡的问题，建立了面向无线传感器节点底层硬件和时序流程的能量模型，在节点通信过程中使用量化算法对数据进行压缩量化，在此基础上综合考虑节点的跟踪精度及剩余能量，提出了基于能量优化策略的调度算法，并采用双重唤醒/休眠机制来延长网络寿命．该策略采用分布式计算方式，易于在资源有限的节点中实现． 实验结果表明，该无线传感器网络目标跟踪平台能有效地跟踪网络内的移动目标．仿真结果表明，采用能量优化策略后，能有效地均衡节点间的能量消耗，避免节点过早衰竭．

In order to meet the requirements of tracking performance and to balance the node energy consumption in wireless sensor networks ( WSNs),an energy model based on the hardware over wireless sensor node and the time sequence procedure is established. In the process of node communication,a quantization algorithm is employed to compress the transmitted data,on the basis of which a scheduling algorithm with energy optimization strategy is proposed by synthetically taking into consideration the tracking accuracy and the residual energy of nodes. Moreover,a
double wake-up /sleep mechanism is adopted to prolong the network lifetime. The proposed scheme is easy to implement in resource-limited nodes due to the adoption of distributed computing mode. Experimental results demonstrate that the test platform effectively tracks moving targets in WSNs. Simulated results show that the energy optimization strategy effectively balances the energy consumption among nodes and prevents nodes from depleting prematurely.