关键词: 无线传感器网络, 压缩感知, 数据重构, 相关性, 自适应

Abstract: In order to eliminate the influence of varying correlation of Wireless Sensor Network (WSN) data caused by transmission in the performance of the current Compressed Sensing (CS) reconstruction algorithms, a correlation adaptive reconstruction algorithm for network data was proposed. Firstly, the iterative algorithm was used to estimate the correlation of the date to be reconstructed, then two-step correlation of support set were used for coordinating the non-zero value in sparse coefficient vector, and eventually a more precise reconstruction of data was realized. The simulation result shows that this algorithm can effectively restrain the effect of noises in WSN data reconstruction and improve the accuracy of reconstruction under varying correlation.

Key words: Wireless Sensor Network (WSN), Compressed Sensing (CS), data reconstruction, correlation, adaptive