中文摘要：

在传感器节点高密度分布的无线传感器网络（WSNs）中,往往面临着节点能耗和网络拥塞两大问题。针对这两大问题,提出了一种基于空间相关性的节点睡眠调度算法（SCASS）。该算法使用空间相关性和节点剩余能量组合成权值函数来选择最优节点作为监测区域的代表节点进行数据采集,未被选中的节点则处于睡眠状态。实验仿真表明：与现有算法相比,该算法在节点能耗、网络寿命、数据传输时延方面都有显著的改善。

英文摘要：

In high-density distributed wireless sensor networks（ WSNs）,network often faces to two problems,which are energy consumption and traffic congestion. Aiming at the two problems,propose a spatial correlationbased algorithm for node sleeping scheduling（ SCASS）. The algorithm uses weighted function,which is combined by spatial correlation and residual energy of nodes,to select optimal nodes as representatives of surveillant area for data collection,at the meantime,other nodes turn to sleeping status. The simulation results show that in comparison with existing algorithm,this algorithm has better performance in reducing node energy consumption,prolonging the network lifetime,and decreasing data transmission delay.