能量有效的无线传感器网络协作压缩感知机制

Energy Efficient Cooperative Compressive Sensing Mechanism in Wireless Sensor Networks

单一的稀疏基无法适应无线传感器网络节点压缩感知过程的复杂性,该文提出一种适用于无线传感器网络的协作压缩感知策略,根据各自的能量消耗状态,节点之间以协作的方式选择稀疏基,进而,通过冗余字典增大数据表示过程中的稀疏度,并有效地增强传输过程的鲁棒性,达到降低能耗的目的。仿真结果表明该文提出的策略能够有效地延长网络生存时间,同时,数据恢复的准确性得到了极大地改善。

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.