A new range-free localization algorithm in wireless sensor networks based on improved genetic algorithm by control on adrenaline levels

In this paper, a new method is proposed to improve genetic algorithm (GA) based on control on adrenaline levels and a new range-free localization algorithm is designed based on the new method to increase the accuracy of the localization in wireless sensor networks (WSN). We choose the classic localization algorithmÿ Centroid Algorithm, to perform experiments to demonstrate the localization accuracy of the new algorithm. The result shows that the new algorithm we proposed provides better localization accuracy and it can optimize the localization algorithm in WSN.