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DOI:
Journal of Software:2009.20(zk):95-103

传感器网络节点间距离估计方法
李凯,汪芸
(东南大学 计算机科学与工程学院,江苏 南京 210096)
Similarity Based Ranging Method in Wireless Sensor Networks
LI Kai,WANG Yun
()
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Received:September 20, 2008    Revised:April 09, 2009
> 中文摘要: 传感器节点间距离的估计是传感器网络节点定位方法的基础.已有的各种定位以及距离估计方法对传感器网络的部署以及测量特性提出了各种苛刻的要求,而这些要求在实际的应用环境中无法得到满足,因此造成了已有方法难以实现和应用.提出了对传感器网络中节点间路径的弯曲程度进行描述的方法.利用该方法,可以获取对路径弯曲具有较大影响的节点,即拐点,根据这些节点完成对测量距离的修正.在此基础上,根据对不同路径弯曲程度相似性的比较,可以完成对传感器网络中各个节点到达信标节点测量距离的修正.仿真结果表明,特别是在节点分布不均匀的情况下,该方法优于PDM和DV-Distance方法.
Abstract:Sensor localization is used by many position dependent applications in the wireless sensor network (WSN), where ranging from sensor nodes to beacon nodes plays a fundamental role. Most state-in-the-art ranging methods rely on many assumptions of deployment and measurement. However, these assumptions do not hold in practice. Therefore, the present methods introduce such great ranging errors that they are not feasible for real applications. In order to obtain more accurate distance estimation, this paper proposes a new metric, round-route node correlation, to describe the bending of paths in the WSN. Then it proposes a method to identify turning nodes along paths. By comparing the similarities between paths, further adjustment algorithms based on similarities are proposed. Simulation results show that the proposed method outperforms PDM and DV-distance especially when beacon nodes are not deployed uniformly.
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基金项目:Supported by the National Basic Research Program of China under Grant No.2009CB320705 (国家重点基础研究发展规划(973)); the Disguised Researcher Program of Jiangsu Province of China (江苏省六大人才高峰计划) Supported by the National Basic Research Program of China under Grant No.2009CB320705 (国家重点基础研究发展规划(973)); the Disguised Researcher Program of Jiangsu Province of China (江苏省六大人才高峰计划)
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李 凯,汪 芸.传感器网络节点间距离估计方法.软件学报,2009,20(zk):95-103

LI Kai,WANG Yun.Similarity Based Ranging Method in Wireless Sensor Networks.Journal of Software,2009,20(zk):95-103