用仙人掌拓扑扫描网络

L. Wrona
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引用次数: 1

摘要

由于在通信协议、控制论和物理安全等方面有大量的实际应用,追逃问题家族被广泛研究。计算图的搜索数是这个问题族中最常分析的成员之一。搜索数是在给定的图中捕获一个不可见且任意快速的逃犯(例如恶意软件)所需的移动代理的最小数量。它与其他一些众所周知的图参数密切相关,如树宽度和路径宽度,并且已经在广泛的变体(边缘,节点,混合,单调,连接,分布等)中进行了研究。计算一般图的边缘搜索次数是np困难的,而对于树的边缘搜索次数可以在线性时间内计算出来。然而,计算仙人掌的搜索数量还没有被广泛报道。在这项工作中,我们将重点关注这类图,因为当我们假设存在备份链路时,它可以用于对令牌环网络以及其他一些网络拓扑进行建模。我们解决了计算搜索次数的问题,以及生成仙人掌的搜索策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Scanning networks with cactus topology
The family of pursuit and evasion problems is widely studied because of its numerous practical applications, ranging from communication protocols to cybernetic and physical security. Calculating the search number of a graph is one of most commonly analyzed members of this problem family. The search number is the smallest number of mobile agents required to capture an invisible and arbitrarily fast fugitive, for instance piece of malicious software, in a given graph. It is closely related to some other well known graph parameters, such as treewidth and pathwidth, and has been studied in a wide range of variants (edge, node, mixed, monotonous, connected, distributed, and others). Calculating the edge search number of a general graph is NP-hard, while it can be computed in linear time for trees. Calculating the search number of cacti, however, has not yet been widely covered. In this work we focus on this class of graphs, as it may be used to model token ring networks as well as some other network topologies when we assume that backup links are present. We address the problem of calculating the search number, as well as generating search strategy for cacti.
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