Journal of Computer Networks and Communications / 2017 / Article / Tab 2

Research Article

GWO-LPWSN: Grey Wolf Optimization Algorithm for Node Localization Problem in Wireless Sensor Networks

Table 2

Comparative analysis of mean localization error (MLE), computation time, and number of localized node (NL).

Anchor
PSOMBAGWO
MLE (%)Time (s)NLMLE (%)Time (s)NLMLE (%)Time (s)NL

100.55594.171320.69823.991780.77711.98185
200.54883.611390.64222.481860.77622.21196
300.53573.031420.63583.251950.77582.60213
400.47875.111540.61692.472050.75112.50221
500.45944.591610.57982.252100.70432.37234
600.45925.591730.57473.332400.70112.55249
700.44455.011820.54251.862460.69831.72262
800.44335.581960.53694.132510.69742.06271
900.42475.222080.52051.752580.67791.51279
1000.30545.932190.50212.552600.65861.80286

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