Abstract: Single sparse matrix can not meet the complexity of the compressed sensing process in wireless sensor networks. Cooperative compressed sensing mechanism is proposed in this paper. According to the energy consumption status of nodes, the sparse matrix can be established with the collaborative manner between the nodes. Further, the sparse degrees in the process of data presentation can be improved through the designed redundant dictionary, and robustness of the transmission process is improved. Finally, the purpose of reducing energy consumption can be achieved. Results show that the proposed strategy is effective to prolong the network survival time and greatly improves the accuracy of recovered data.