English

Near-Optimal Distributed Approximation of Minimum-Weight Connected Dominating Set

Data Structures and Algorithms 2014-05-01 v1 Distributed, Parallel, and Cluster Computing

Abstract

This paper presents a near-optimal distributed approximation algorithm for the minimum-weight connected dominating set (MCDS) problem. The presented algorithm finds an O(logn)O(\log n) approximation in O~(D+n)\tilde{O}(D+\sqrt{n}) rounds, where DD is the network diameter and nn is the number of nodes. MCDS is a classical NP-hard problem and the achieved approximation factor O(logn)O(\log n) is known to be optimal up to a constant factor, unless P=NP. Furthermore, the O~(D+n)\tilde{O}(D+\sqrt{n}) round complexity is known to be optimal modulo logarithmic factors (for any approximation), following [Das Sarma et al.---STOC'11].

Keywords

Cite

@article{arxiv.1404.7559,
  title  = {Near-Optimal Distributed Approximation of Minimum-Weight Connected Dominating Set},
  author = {Mohsen Ghaffari},
  journal= {arXiv preprint arXiv:1404.7559},
  year   = {2014}
}

Comments

An extended abstract version of this result appears in the proceedings of 41st International Colloquium on Automata, Languages, and Programming (ICALP 2014)

R2 v1 2026-06-22T04:02:31.325Z