基于测距修正和蜜獾优化的改进DV_Hop定位算法
DOI:
作者:
作者单位:

海军工程大学电子工程学院 湖北武汉 430030

作者简介:

通讯作者:

中图分类号:

TP212.9;TN929.5;TP18

基金项目:


Improved DV_Hop localization algorithm based on ranging correction and honey badger optimization
Author:
Affiliation:

College of Electronic Engineering, Naval University of Engineering, Wuhan Hubei 430030, China

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    针对传统DV_Hop算法在无线传感器网络中定位精度不足的问题,提出一种基于测距修正和蜜獾优化的改进DV_Hop定位算法。首先,通过多通信半径细化节点间最小跳数;其次,利用最小均方差准则与修正因子减少跳距误差;最后引入全局寻优性能优异的改进蜜獾算法代替最小二乘法计算未知节点坐标,进一步降低计算误差。经网络仿真验证,在不同条件下,优化算法较传统DV_Hop算法和改进算法(PDDV_Hop)定位误差平均下降16.62%、3.92%,能够有效地提高定位精度,且优化算法定位精度受锚节点数量影响较小,可在保证定位精度的前提下降低锚节点部署成本。

    Abstract:

    Aiming at the problem of insufficient positioning accuracy of traditional DV _ Hop algorithm in wireless sensor networks, an improved DV _ Hop positioning algorithm based on ranging correction and badger optimization is proposed. Firstly, the minimum hops between nodes are refined by multi-communication radius; secondly, the minimum mean square deviation criterion and correction factor are used to reduce the jump error; finally, the improved badger algorithm with excellent global optimization performance is introduced to replace the least square method to calculate the unknown node coordinates, which further reduces the calculation error. The network simulation results show that under different conditions, the positioning error of the optimization algorithm decreases by 16.62 % and 3.92 % on average compared with the traditional DV_Hop algorithm and the improved algorithm (PDDV_Hop), which can effectively improve the positioning accuracy. The positioning accuracy of the optimization algorithm is less affected by the number of anchor nodes, which can reduce the deployment cost of anchor nodes on the premise of ensuring the positioning accuracy.

    参考文献
    相似文献
    引证文献
引用本文

宋跃才,林海涛,卞媛,肖丹妮.基于测距修正和蜜獾优化的改进DV_Hop定位算法[J].电子测量技术,2022,45(9):147-153

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2024-05-08
  • 出版日期: