基于蝙蝠算法的DV-Hop定位改进  

Improvement of DV-Hop Localization Based on Bat Algrothrim

作　　者：曹欲晓[1] 张倩[1] 李艳冰[2] 徐金宝[1] 

机构地区：[1]南京工程学院计算机工程学院,南京211167 [2]同济大学机械工程学院,上海201804

出　　处：《计算机测量与控制》2015年第4期1273-1275,共3页Computer Measurement &Control

基　　金：国家自然科学基金(61203230)

摘　　要：无线传感器网络DV-Hop定位算法在定位过程中,由于待定位节点和锚节点之间的估算距离存在误差,这就使得定位结果必然会有误差,因此定位问题的本质就是最小化定位误差;蝙蝠算法是一种具有良好性能的智能优化算法,根据节点间的距离和锚节点的位置,应用蝙蝠算法对DV-Hop的定位结果进行了优化;基于蝙蝠算法的DV-Hop优化,无需额外增加硬件设备和节点间的通信数据量;仿真实验证明,应用蝙蝠算法改进的DV-Hop定位较原始DV-Hop定位平均提高定位精度35%以上。In the process of wireless sensor network＇s nodes localization, there is error of location result of unknown node because of the existence of the error of distance between unknown node and anchor node. It is an optimization problem that how to minimize the error of localization result. Bat algorithm is one kind of optimization algorithm with good performance. Bat algorithm is used to optimize the localization result of DV-- Hop according to distance between nodes and location of anchor nodes. The optimization of DV-- Hop based on bat algorithm doesn＇t need additional equipment and communication data flow. The emulation result proves that bat algorithm DV-- Hop can increase location result accuracy more than 35% compared with original DV--Hop.

关 键 词：无线传感器网络 节点定位 DV-HOP算法 蝙蝠算法 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]