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Table 3 Comparative analysis of WGWO for the delay parameter

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

Nodes vs. delay (ms) % 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 84.8 60 35.6 20 10 50.00 71.91 83.33 88.21
200 98 73.2 50 36.65 22 39.97 56.00 69.95 77.55
300 112 89.25 67.65 50 35 30.00 48.26 60.78 68.75
400 130 108.25 90 72.25 60 16.96 33.33 44.57 53.85
500 150 125.5 109.8 92 80 13.04 27.14 36.25 46.67
Average % improvements → 29.99 52.38 58.98 67.00