可见性图上的路由

Q4 Mathematics
P. Bose, Matias Korman, André van Renssen, S. Verdonschot
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引用次数: 3

摘要

我们考虑存在线段约束的网络路由问题(即,我们网络中的边缘不允许越过的障碍物)。设$P$为平面上$n$点的集合,设$S$为端点在$P$的不相交线段的集合。我们提出了两种确定性的1-local $O(1)$ -memory路由算法,它们保证在相对于一组约束$S$的\emph{可见性图}$P$的任何一对顶点之间找到最多线性大小的路径(即,算法永远不会超越当前位置的直接邻居,只存储恒定数量的附加信息)。与现有的确定性局部路由算法不同,我们的路由算法不在可见性图的平面子图上进行路由。此外,我们还提供了任何确定性局部路由算法在可见性图上的路由比率的下界。{\em}
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Routing on the Visibility Graph
We consider the problem of routing on a network in the presence of line segment constraints (i.e., obstacles that edges in our network are not allowed to cross). Let $P$ be a set of $n$ points in the plane and let $S$ be a set of non-crossing line segments whose endpoints are in $P$. We present two deterministic 1-local $O(1)$-memory routing algorithms that are guaranteed to find a path of at most linear size between any pair of vertices of the \emph{visibility graph} of $P$ with respect to a set of constraints $S$ (i.e., the algorithms never look beyond the direct neighbours of the current location and store only a constant amount of additional information). Contrary to {\em all} existing deterministic local routing algorithms, our routing algorithms do not route on a plane subgraph of the visibility graph. Additionally, we provide lower bounds on the routing ratio of any deterministic local routing algorithm on the visibility graph.
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来源期刊
CiteScore
0.80
自引率
0.00%
发文量
4
审稿时长
>12 weeks
期刊介绍: The International Journal of Computational Geometry & Applications (IJCGA) is a quarterly journal devoted to the field of computational geometry within the framework of design and analysis of algorithms. Emphasis is placed on the computational aspects of geometric problems that arise in various fields of science and engineering including computer-aided geometry design (CAGD), computer graphics, constructive solid geometry (CSG), operations research, pattern recognition, robotics, solid modelling, VLSI routing/layout, and others. Research contributions ranging from theoretical results in algorithm design — sequential or parallel, probabilistic or randomized algorithms — to applications in the above-mentioned areas are welcome. Research findings or experiences in the implementations of geometric algorithms, such as numerical stability, and papers with a geometric flavour related to algorithms or the application areas of computational geometry are also welcome.
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