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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