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Table 3 Different metrics of the proposed methods in comparison with other methods

From: Selfish node detection based on hierarchical game theory in IoT

Presence of selfish node, algorithmsMetrics10152025303540
Proposed algorithmDetection accuracy (DA)0.930.9910.990.980.960.95
PPS [14]0.750.720.780.790.770.760.74
Game theory-based [29]0.810.790.710.690.560.510.48
Trust management [32]10.950.880.850.80.740.62
Proposed algorithmFalse-positive rate (FPR)0000.0020.01270.03470.0549
PPS [14]0.250.220.280.290.270.270.31
Game theory-based [29]0.190.210.280.410.440.490.53
Trust management [32]0000.020.10.140.2
Proposed algorithmThroughput75.8573.0574.1478.9286.7191.0795
PPS [14]48414338353219
Game theory-based [29]50424136333015
Trust management [32]85788184827173
Proposed algorithmEnd-to-end delay (ms)16.3517.0117127.934.11.47
PPS [14]48414338353219
Game theory-based [29]50424136333015
Trust management [32]85788184827173
Proposed AlgorithmEnergy consumption (μJ), 2 CBR3.143003.143023.143033.142993.143013.143013.14302
PPS [14]3.13.254.24.84.95.015.2
Game theory-based [29]2.82.93.53.63.663.783.9
Trust management [32]2.93.13.43.94.124.524.6