关键词: 无线传感器网络, DV-Hop算法, 改进蛙跳算法, 遗传算法

Abstract: Localization is one of the most important problems in Wireless Sensor Networks（WSN）. Aiming at the problem of low localization accuracy of DV-Hop algorithm, an improved multi-communication radius of DV-Hop localization algorithm based on an evolutionary algorithm is proposed. A leapfrog algorithm is applied to optimize a jump distance of anchor nodes and an adaptive function is modified in order to render the jump distance closer to a ture value. Then, in the last phase of DV-Hop algorithm, a genetic algorithm is used to solve a coordinates of unknown nodes. Experimental simulation results have shown that the improved approach greatly reduces a localization error without adding an additional hardware resource. Compared to a traditional DV-Hop algorithm, the positioning accuracy is improved by about 69%. The localization accuracy is increased by 21% comparing to other literature.

Key words: Wireless Sensor Networks（WSN）, DV-Hop algorithm, Improve frog leaping algorithm, genetic algorithm