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

摘要： 定位是无线传感器网络中最重要的问题之一。针对DV-Hop算法定位精度低问题，提出基于进化算法的多通信半径DV-Hop改进定位算法。该方法在多通信半径定位算法基础上，使用蛙跳算法对锚节点跳距进行优化，并对其适应值函数进行改进，让跳距值更接近真实值，然后在DV-Hop算法最后阶段利用遗传算法求解未知节点坐标。实验仿真结果表明，改进算法在不增加额外硬件情况下，大大降低了定位误差，相比于传统DV-Hop算法，定位精度提高了大约69%，相比其他文献，定位精度提高了大约21%。

关键词: 无线传感器网络, DV-Hop算法, 改进蛙跳算法, 遗传算法