Table 2 CPT for node parameter learning
From: RETRACTED ARTICLE: Node fault diagnosis algorithm for wireless sensor networks based on BN and WSN
CPT distribution | Small dataset | Adequate dataset | ||||||
|---|---|---|---|---|---|---|---|---|
MLE | Standard | CDME | QMAP | MLE | Standard | CDME | QMAP | |
P1 | 1.000 | 0.7261 | 0.833 | 0.7518 | 0.8815 | 0.8973 | 0.8723 | 0.7592 |
P2 | 0.000 | 0.0145 | 0.1888 | 0.2996 | 0.5141 | 0.4847 | 0.5087 | 0.3554 |
P3 | 0.000 | 0.0355 | 0.1955 | 0.3023 | 0.5163 | 0.4675 | 0.5095 | 0.3383 |
P4 | 0.000 | 0.0066 | 0.1035 | 0.1256 | 0.4192 | 0.4426 | 0.4112 | 0.1435 |
P5 | 0.000 | 0.2736 | 0.1665 | 0.2486 | 0.1193 | 0.1025 | 0.1277 | 0.2408 |
P6 | 1.000 | 0.9854 | 0.8115 | 0.7004 | 0.4857 | 0.5153 | 0.4918 | 0.6444 |
P7 | 1.000 | 0.9641 | 0.8044 | 0.6977 | 0.4832 | 0.5312 | 0.4903 | 0.6615 |
P8 | 1.000 | 0.9932 | 0.8967 | 0.8744 | 0.5807 | 0.5571 | 0.5885 | 0.8564 |