Routing Among Convex Polygonal Obstacles in the Plane

IF 0.6 4区 计算机科学 Q4 COMPUTER SCIENCE, THEORY & METHODS
R. Inkulu, Pawan Kumar
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引用次数: 0

Abstract

Given a set [Formula: see text] of [Formula: see text] pairwise disjoint convex polygonal obstacles in the plane, defined with [Formula: see text] vertices, we preprocess [Formula: see text] and compute one routing table at each vertex in a subset of vertices of [Formula: see text]. For routing a packet from any vertex [Formula: see text] to any vertex [Formula: see text], our scheme computes a routing path with a multiplicative stretch [Formula: see text] and an additive stretch [Formula: see text], by consulting routing tables at only a subset of vertices along that path. Here, [Formula: see text] is the number of obstacles of [Formula: see text] the routing path intersects, and [Formula: see text] depends on the geometry of obstacles in [Formula: see text]. During the preprocessing phase, we construct routing tables of size [Formula: see text] in [Formula: see text] time, where [Formula: see text] is an input parameter.
平面上凸多边形障碍物之间的路由
给定平面上由[公式:见文]顶点定义的[公式:见文]对不相交凸多边形障碍物的集合[公式:见文],我们对[公式:见文]顶点子集中的[公式:见文]顶点进行预处理,并在每个顶点计算一个路由表。对于从任意顶点[公式:见文本]路由数据包到任意顶点[公式:见文本],我们的方案计算一个具有乘法拉伸[公式:见文本]和加法拉伸[公式:见文本]的路由路径,通过仅在该路径上的一个子集的顶点上查询路由表。其中,[公式:见文]为路径所交叉的[公式:见文]障碍物的数量,[公式:见文]取决于[公式:见文]中障碍物的几何形状。在预处理阶段,我们在[Formula: see text] time中构造大小为[Formula: see text]的路由表,其中[Formula: see text]为输入参数。
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来源期刊
International Journal of Foundations of Computer Science
International Journal of Foundations of Computer Science 工程技术-计算机:理论方法
CiteScore
1.60
自引率
12.50%
发文量
63
审稿时长
3 months
期刊介绍: The International Journal of Foundations of Computer Science is a bimonthly journal that publishes articles which contribute new theoretical results in all areas of the foundations of computer science. The theoretical and mathematical aspects covered include: - Algebraic theory of computing and formal systems - Algorithm and system implementation issues - Approximation, probabilistic, and randomized algorithms - Automata and formal languages - Automated deduction - Combinatorics and graph theory - Complexity theory - Computational biology and bioinformatics - Cryptography - Database theory - Data structures - Design and analysis of algorithms - DNA computing - Foundations of computer security - Foundations of high-performance computing
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