Aiming at wireless sensor networks（ WSNs） communication power consumption and high bandwidth requirements

which result in disadvantage of short life of nodes

by using WSNs nodes spatial correlation and joint sparse models

combined with the distributed compressed sensing（ DCS） algorithm

an energy harvesting method is proposed to analyze the compression and reconstruction of datas in WSNs.The theoretical and experimental results show that the WSNs based on DCS

has great advantages in energy balance

on the guarantee of accuracy of reconstruction signal

it greatly improves effective utilization of energy.