首页> 外文期刊>International journal of wireless and mobile computing >An improved DV-Hop algorithm based on distance optimisation for WSNs
【24h】

An improved DV-Hop algorithm based on distance optimisation for WSNs

机译:一种基于WSN距离优化的改进的DV跳算法

获取原文
获取原文并翻译 | 示例
           

摘要

To improve the localisation accuracy for unknown nodes within a one-hop distance of an anchor node, this paper analysis the main reason that results in localisation error of DDV-Hop localisation algorithm, which is the estimation of the number of hops between nodes. The localisation algorithm based on distance optimisation is proposed. Jaccard coefficient is conducive to reduce the estimation error on the number of hops to an unknown node at a one-hop distance, and the difference error coefficient of the DDV-Hop algorithm is used to reduce the error accumulated when calculating the average hop distance to correct the average hop distance between nodes. A credibility factor is introduced to select the anchor node for localisation, which can calculate the locations of nodes. The node with the highest localisation accuracy is used as a new anchor node. Simulation results show that under the same conditions, the improved algorithm has a higher localisation accuracy than both the DDV-Hop algorithm and DV-Hop algorithm. The algorithm proposed in this paper is of great significance to the localisation performance of wireless sensor networks.
机译:为了提高锚节节点的单跳距离内未知节点的定位精度,本文分析了导致DDV跳定位算法的定位误差的主要原因,这是节点之间跳数的估计。提出了基于距离优化的定位算法。 Jaccard系数有助于将跳转节点的跳数误差减少到一个跳距离,并且DDV-Hop算法的差错误差系数用于减少计算平均跳距时累积的误差纠正节点之间的平均跳距。引入信誉因子以选择本地化的锚点节点,可以计算节点的位置。具有最高定位精度的节点用作新的锚点节点。仿真结果表明,在相同的条件下,改进的算法具有比DDV跳算法和DV跳算法的定位精度更高。本文提出的算法对无线传感器网络的定位性能具有重要意义。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号