Research Article
WSNs Compressed Sensing Signal Reconstruction Based on Improved Kernel Fuzzy Clustering and Discrete Differential Evolution Algorithm
Table 1
Evaluation index comparisons of the four reconstruction algorithms.
| Signal | Index | Algorithm | This paper | Literature[8] | Literature[2] | StOMP |
| Signal1 | | 100% | 97.3% | 50.2% | 17.3% | /s | 0.17 | 0.38 | 0.28 | 0.37 | | 0.007 | 0.012 | 1.845 | 3.330 |
| Signal2 | | 100% | 98.2% | 49.2% | 15.3% | /s | 0.25 | 0.44 | 0.36 | 0.82 | | 0.014 | 0.018 | 1.038 | 2.143 |
| Signal3 | | 100% | 97.6% | 55.7% | 10.8% | /s | 0.56 | 0.92 | 0.66 | 1.27 | | 0.013 | 0.017 | 1.836 | 3.045 |
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