计算机科学 ›› 2012, Vol. 39 ›› Issue (5): 40-43.

• 计算机网络与信息安全 • 上一篇    下一篇

无线传感器网络距离自调整的MDS定位算法

叶飞虎,白光伟,沈航   

  1. (南京工业大学计算机科学与技术系 南京210009)(南京大学计算机软件新技术国家重点实验室 南京210093)(南京理工大学计算机科学与技术学院 南京210094)
  • 出版日期:2018-11-16 发布日期:2018-11-16

Self-adjusting Distance MDS Algorithm for WSNs

  • Online:2018-11-16 Published:2018-11-16

摘要: 定位技术是无线传感器网络中的关键支撑技术之一。针对移动无线传感器网络的特点,在深入分析现有多维定标节点定位算法的基础上,提出一种改进机制,即距离自调整的多维定标节点定位算法(SA_MDS)。该算法运用3种方法估算节点的两跳距离,然后自动调整节点间的估算距离,从而提高定位精度。仿真结果表明,采用SA_ MDS算法,节点的定位精度有较大提高。

关键词: 无线传感器网络,定位,多维定标,节点距离

Abstract: Localization is one of the key technologies in wireless sensor networks(WSNs). Considering the characteristics of WSNs, this work began with a thorough investigation of the existing MDS_MAP localization algorithm. On this basis,we proposed a self-adjusting distances localization algorithm(S人MDS). The basic idea behind S人MDS is to estimate the distance between the two-hop nodes with three approaches,followed by self-adjustment of the estimated dislances between nodes, in order to improve positioning accuracy. Our simulation results show that the SA-MDS algorithm improves the accuracy of node localization significantly.

Key words: WSNs, Localization, Multidimensional scaling, Distances of nodes

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