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%。
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.
作者
陈业海
郑日荣
许亮
CHEN Yehai;ZHENG Rirong;XU Liang(School of Automation,Guangdong University of Technology,Guangzhou 510900,China)
出处
《计算机工程与应用》
CSCD
北大核心
2019年第1期89-95,共7页
Computer Engineering and Applications
基金
国家自然科学基金(No.21376091)
广东省科技计划项目(No.2015A030401089)
关键词
无线传感器网络
DV-HOP算法
改进蛙跳算法
遗传算法
Wireless Sensor Networks(WSN)
DV-Hop algorithm
Improve frog leaping algorithm
genetic algorithm
