Abstract
Considering the characteristics in the process of information collection in underwater sensor networks and the restricted requirements of compressed sensing theory, the compressed sensing recovery algorithm with adjustable resolution for underwater sensor networks is proposed in this paper. Firstly, the Sink node computes the reconstruct resolution according to the dimension of the random observed vector and the strategy for adjusting resolution. And then, the random observed vector will be processed, and the observed matrix will be constructed according to the reconstruct resolution and the location information of the node data. Finally, the information of observed area will be reconstructed by compressed sensing recovery algorithm. Simulation results show that the proposed method can improve the reconstruct accuracy in a small sensing probability.
| Original language | English |
|---|---|
| Pages (from-to) | 723-728 |
| Number of pages | 6 |
| Journal | Chinese Journal of Sensors and Actuators |
| Volume | 28 |
| Issue number | 5 |
| DOIs | |
| State | Published - 1 May 2015 |
| Externally published | Yes |
Keywords
- Compressed sensing
- Reconstruct accuracy
- Reconstruct resolution
- Underwater sensor networks
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