Table 7 Comparison of existing methods.

From: Next generation AI powered framework for autonomous energy optimization and real time anomaly detection in IoT driven wireless sensor networks

Method

Accuracy

Precision

Recall

F1-Score

Energy Efficiency

Proposed LEGO-WSN (LSTM + GA)

99%

98%

99%

98%

20% Savings

Random Forest33

92%

90%

91%

90.5%

10% Savings

K-means Clustering34

89%

88%

87%

87.5%

5% Savings

ANN23

95%

93%

94%

93.5%

12% Savings

Static Threshold Method35

80%

75%

78%

76%

2% Savings