Distributed algorithms for edge dominating sets

J. Suomela
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引用次数: 12

Abstract

An edge dominating set for a graph G is a set D of edges such that each edge of G is in D or adjacent to at least one edge in D. This work studies deterministic distributed approximation algorithms for finding minimum-size edge dominating sets. The focus is on anonymous port-numbered networks: there are no unique identifiers, but a node of degree d can refer to its neighbours by integers 1, 2, ..., d. The present work shows that in the port-numbering model, edge dominating sets can be approximated as follows: in d-regular graphs, to within 4-6/(d+1) for an odd d and to within 4-2/d for an even d; and in graphs with maximum degree Δ, to within 4-2/(Δ-1) for an odd Δ and to within 4-2/Δ for an even Δ. These approximation ratios are tight for all values of d and Δ: there are matching lower bounds.
边缘支配集的分布式算法
图G的边控制集是D条边的集合,其中G的每条边都在D中或与D中的至少一条边相邻。本文研究了寻找最小边控制集的确定性分布近似算法。重点是匿名端口编号网络:没有唯一标识符,但度为d的节点可以通过整数1,2,…引用其邻居。本文的工作表明,在端口编号模型中,边缘支配集可以近似如下:在d正则图中,对于奇数d,可以近似到4-6/(d+1)以内,对于偶数d,可以近似到4-2/d以内;在最大度为Δ的图中,对于奇数次Δ在4-2/(Δ-1)内,对于偶数次Δ在4-2/Δ内。这些近似比率对于所有的d值和Δ都是严格的:有匹配的下界。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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