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Table 6 Comparative analysis of WGWO energy consumption parameter

From: Hybrid WGWO: whale grey wolf optimization-based novel energy-efficient clustering for EH-WSNs

Nodes vs. energy consumption (mJ) % Improvements of WGWO as compared with existing schemes
Number of nodes ↓ TBC Partition-based LEACH LCM ETSSEP WGWO % Improvements of WGWO as compared with ETSSEP % Improvements of WGWO as compared with LCM % Improvements of WGWO as compared with partition-based LEACH % Improvements of WGWO as compared with TBC
100 400 300 150 50 30 40.00 80.00 90.00 92.50
200 545 336.5 192.5 76.5 45 41.18 76.62 86.63 91.74
300 576.5 400 266 116 72.5 37.50 72.74 81.88 87.42
400 600 437.5 300 150 104.5 30.33 65.17 76.11 82.58
500 636.5 482 336.5 188 150 20.21 55.42 68.88 76.43
Average % improvements → 33.84 69.99 80.70 88.56