中文摘要：

提出了利用本地信噪比来选择部分传感器节点发送数据从而达到实现无线传感器网络能量有效性的方法。在无线传感器网络中节点分布的密度很大,节点采集的数据具有很强的相关性,这样让每一个节点都发送它们采集的数据是非必要的。采用的方法是选择那些本地信噪比较高（即对恢复目标原始状态贡献大）的那些节点传送它们采集的数据。仿真结果表明该方法可以节约30%～50%的能量消耗,并且对目标节点状态的估计几乎没有造成不良的影响。

英文摘要：

This paper proposed a local SNR aided sensor selecting （ISAS） algorithm to meet the energy efficiency requirement of wireless sensor networks （WSNs）. Realizing that it was not necessary to involve all the sensors due to the redundancy characteristic of the information on them, was proposed that only these sensors with higher local SNR were selected to transmit their sensed data. Experimental results demonstrate that it is sufficient to only use the information on nodes with higher local SNR for target state estimation. The simulations also suggest that the proposed method consumes about 30% - 50% less energy than the conventional method.