Metric Dimension and Robot Navigation in Specific Sensor Networks

Z. Shao, Pu Wu, Enqiang Zhu, Lanxiang Chen
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引用次数: 2

Abstract

The concept of metric dimension was proposed to model robot navigation where the places of navigating agents can change among nodes. The metric dimension md(G) of a graph G is the smallest number k for which G contains a vertex set W such that |W| = k and every pair of vertices of G possess different distances to at least one vertex in W. In this paper, we demonstrate that md(HDN1(n)) = 4 for n ≥ 2, this indicates that in this type of hex derived sensor networks, the least number of nodes needed is 4 for locating any other node in such a sensor network.
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特定传感器网络中的度量维度与机器人导航
提出了度量维度的概念来建模机器人导航,其中导航agent的位置可以在节点间改变。度量维度md (G)的图G是最小的数k的G包含一组顶点W W, | | = k和G的每一对顶点具有不同距离至少一个顶点在W .本文我们证明md (HDN1 (n)) = 4 n≥2,这表明在这种十六进制派生的传感器网络,节点的最少需要4定位在这样一个传感器网络其他节点。
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