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.