A compressive data gathering method with low-rank constraints for WSNs is proposed.
The historical data are introduced to utilize the low-rank feature of the data.
The proposed method utilizes both the low-rank and sparsity feature.
A reconstruction algorithm based on the alternating direction method of multipliers is described.
The recovery accuracy of the proposed method is better than the state-of-the-art methods.