摘要
DV-Hop算法是一种经典的节点定位算法,具有成本低、易于实现等优点,但是存在定位精度低,误差大等不足,为此本文提出一种改进DV-Hop的无线传感器节点定位算法。首先利用极大似然估计法得到未知节点的初始位置信息,然后利用改进粒子群算法对估计位置进行修正,实验结果表明,改进DV-Hop算法可以有效的提高定位精度。
DV-Hop algorithm is a classic node localization algorithm which has the advantages of low cost,easy implementation,but also has disadvantages of low positioning accuracy and large error,so this paper proposes a node localization method based on improved DV-Hop algorithm. Firstly,the maximum likelihood method is used to estimate and get the initial location information of an unknown node,and then the improved particle swarm optimization algorithm is used to estimate the correct position,and finally the experimental results show that the improved DV-Hop algorithm can improve the positioning accuracy effectively.
出处
《激光杂志》
北大核心
2015年第9期138-140,共3页
Laser Journal
基金
河南科技厅项目(201400239)
关键词
节点定位
DV-HOP算法
改进粒子群算法
极大似然法
Node localization
DV-Hop algorithm
Improved particle swarm optimization algorithm
The maximum likelihood method
