计算机工程与应用2018，Vol.54Issue(12)：240-243,257,5.DOI:10.3778/j.issn.1002-8331.1701-0223
节点分区与平均跳数加权的三维DV-Hop定位算法
Three-dimensional DV-Hop localization algorithm based on node partitioning and node-based average hop weighting
张伯泉 1王瑞成1
作者信息
- 1. 广东工业大学 计算机学院,广州 510006
- 折叠
摘要
Abstract
Because of the inherent shortcomings of the two important localization factors of the DV-Hop localization algorithm:The average hop distance of the network anchor nodes and the number of hops of the unknown nodes to the anchor nodes, an improved 3D-DVHop localization algorithm 3DPHW-DVHop(Partial HopSize Weighted)is put for-ward. When the average hop distance of the network is calculated, the algorithm is optimized by region partitioning and hops count weighting. Finally, the maximum likelihood method is used to estimate the position of the unknown node. After analyzing the theory and proving the simulation experiment, it is concluded that the 3D-DVHop localization algorithm based on the region partitioning and hops count weighting is significantly improved by comparsion with the traditional DV-Hop localization algorithm under the same conditions.关键词
三维定位/分区加权/Distance Vector Hop(DV-Hop)/无线传感网络Key words
three-dimensional localization/partition weighting/DV-Hop/wireless sensor network分类
信息技术与安全科学引用本文复制引用
张伯泉,王瑞成..节点分区与平均跳数加权的三维DV-Hop定位算法[J].计算机工程与应用,2018,54(12):240-243,257,5.
