English

Distributed coloring and the local structure of unit-disk graphs

Distributed, Parallel, and Cluster Computing 2023-01-23 v6 Computational Geometry Combinatorics

Abstract

Coloring unit-disk graphs efficiently is an important problem in the global and distributed setting, with applications in radio channel assignment problems when the communication relies on omni-directional antennas of the same power. In this context it is important to bound not only the complexity of the coloring algorithms, but also the number of colors used. In this paper, we consider two natural distributed settings. In the location-aware setting (when nodes know their coordinates in the plane), we give a constant time distributed algorithm coloring any unit-disk graph GG with at most 4ω(G)4\omega(G) colors, where ω(G)\omega(G) is the clique number of GG. This improves upon a classical 3-approximation algorithm for this problem, for all unit-disk graphs whose chromatic number significantly exceeds their clique number. When nodes do not know their coordinates in the plane, we give a distributed algorithm in the LOCAL model that colors every unit-disk graph GG with at most 5.68ω(G)+15.68\omega(G)+1 colors in O(logn)O(\log^* n) rounds. This algorithm is based on a study of the local structure of unit-disk graphs, which is of independent interest. We conjecture that every unit-disk graph GG has average degree at most 4ω(G)4\omega(G), which would imply the existence of a O(logn)O(\log n) round algorithm coloring any unit-disk graph GG with (approximately) 4ω(G)4\omega(G) colors in the LOCAL model. We provide partial results towards this conjecture using Fourier-analytical tools.

Keywords

Cite

@article{arxiv.2106.12322,
  title  = {Distributed coloring and the local structure of unit-disk graphs},
  author = {Louis Esperet and Sébastien Julliot and Arnaud de Mesmay},
  journal= {arXiv preprint arXiv:2106.12322},
  year   = {2023}
}

Comments

25 pages, corrects a mistake in the proceedings version of the paper. A preliminary version of this work appeared in the proceedings of the 17th International Symposium on Algorithms and Experiments for Wireless Sensor Networks (ALGOSENSORS 2021)

R2 v1 2026-06-24T03:30:21.258Z