改进的人工蜂群优化DV-Hop定位算法  

Optimized DV-Hop Localization Algorithm Based on Improved Artificial Bee Colony

作　　者：刘燕 高丽[1] Liu Yan;Gao Li(College of Electronic and Information Engineering,Lanzhou Jiaotong University,Lanzhou,Gansu 730070,China)

机构地区：[1]兰州交通大学电子与信息工程学院,甘肃兰州730070

出　　处：《激光与光电子学进展》2020年第19期232-237,共6页Laser & Optoelectronics Progress

摘　　要：针对距离向量跳段(DV-Hop)算法在多边定位中误差较大的问题,详细分析了定位误差形成的原因,并提出了一种改进的人工蜂群优化DV-Hop定位算法。该算法引入数学优化模型,使用改进的区域限定人工蜂群算法对该模型进行目标寻优,优化多边定位的执行过程。实验结果表明,改进的人工蜂群算法可减少多边定位阶段的误差和计算量,且定位效果较好。Aiming at the large error problem of distance vector-hop(DV-Hop)algorithm in multilateral positioning,the cause of positioning error is analyzed in detail,and an improved artificial bee colony optimization DV-Hop localization algorithm is proposed in this work.The algorithm introduces a mathematical optimization model,uses an improved area-limited artificial bee colony algorithm to optimize the model,and optimizes the execution process of multilateral positioning.Experimental results demonstrate that the modified artificial bee colony algorithm can reduce the error and the amount of calculation in the multilateral positioning stage,and the positioning effect is good.

关 键 词：无线传感器网络 人工蜂群 距离向量跳段(DV-Hop)算法 节点定位 

分 类 号：TN929.5[电子电信—通信与信息系统] TP212.9[电子电信—信息与通信工程]