摘要
随着嵌入式计算机技术、无线通信技术、半导体技术和微电子技术的进步,由微型传感器构成的无线传感网络(WSN)得到了广泛应用。其定位技术是研究热点之一,基于无需测距的DV-Hop算法,对其产生的定位误差进行分析。针对其定位精度不高的问题,将人工蜂群算法引入,可以提高其定位精度,又在此基础上引入粒子群算法的思想,缩小蜂群算法的求解范围,进一步提高算法的收敛速度与准确性,并进行了仿真校验,发现该改进算法比以往一些定位算法有更好的定位效果。
The wireless sensor network(WSN) composed of micro sensors has been widely used with the progress of embedded computer technology,wireless communication technology,semiconductor technology and microelectronic technology.The positioning technology of WSN is one of the hotspots. Its positioning error is analyzed based on the range-free DV-Hop algorithm. In view of the fact that the positioning accuracy is not high,the artificial bee colony algorithm is introduced,which can improve the positioning accuracy. In addition,particle swarm optimization(PSO)is introduced,which narrows the solution scope of bee colony algorithm,and further improves the convergence speed and accuracy of the algorithm. The simulation verification is implemented,whose results show that the improved algorithm has a better positioning effect than certain previous positioning algorithms.
作者
朱正伟
宋丽萍
ZHU Zhengwei;SONG Liping(School of Information Science and Engineering,Changzhou University,Changzhou 213164,China)
出处
《现代电子技术》
北大核心
2019年第23期6-10,16,共6页
Modern Electronics Technique
基金
国家自然科学基金资助项目：面向用户行为的移动计算能耗优化机制研究(61772090)~~
关键词
定位技术
无线传感网络
误差分析
精准定位
仿真实验
结果分析
positioning technology
wireless sensor network
error analysis
precise positioning
simulation experiment
result analysis
