Affiliation:
1. Max-Planck-Institut für Informatik, Germany
2. Faculty of Computer Science, University of Vienna, Austria
3. Uniwersytet Warszawski, Warsaw, Poland
Abstract
The Minimum Dominating Set (MDS) problem is a fundamental and challenging problem in distributed computing. While it is well known that minimum dominating sets cannot be well approximated locally on general graphs, in recent years there has been much progress on computing good local approximations on sparse graphs and in particular on planar graphs. In this article, we study distributed and deterministic MDS approximation algorithms for graph classes beyond planar graphs. In particular, we show that existing approximation bounds for planar graphs can be lifted to bounded genus graphs and more general graphs, which we call locally embeddable graphs, and present
(1) a local constant-time, constant-factor MDS approximation algorithm on locally embeddable graphs, and
(2) a local
O
(log
*
n
)-time (1+ϵ)-approximation scheme for any ϵ > 0 on graphs of bounded genus.
Our main technical contribution is a new analysis of a slightly modified variant of an existing algorithm by Lenzen et al. [21]. Interestingly, unlike existing proofs for planar graphs, our analysis does not rely on direct topological arguments but on combinatorial density arguments only.
Funder
European Union's Horizon 2020 research and innovation programme
National Science Centre of Poland via POLONEZ
European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme
Publisher
Association for Computing Machinery (ACM)
Subject
Mathematics (miscellaneous)
Cited by
11 articles.
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