Abstract
We describe a simple deterministic O(ε-1logΔ) round distributed algorithm for (2α+1)(1+ε) approximation of minimum weighted dominating set on graphs with arboricity at most α. Here Δ denotes the maximum degree. We also show a lower bound proving that this round complexity is nearly optimal even for the unweighted case, via a reduction from the celebrated KMW lower bound on distributed vertex cover approximation (Kuhn et al. in JACM 63:116, 2016). Our algorithm improves on all the previous results (that work only for unweighted graphs) including a randomized O(α2) approximation in O(logn) rounds (Lenzen et al. in International symposium on distributed computing, Springer, 2010), a deterministic O(αlogΔ) approximation in O(logΔ) rounds (Lenzen et al. in international symposium on distributed computing, Springer, 2010), a deterministic O(α) approximation in O(log2Δ) rounds (implicit in Bansal et al. in Inform Process Lett 122:21–24, 2017; Proceeding 17th symposium on discrete algorithms (SODA), 2006), and a randomized O(α) approximation in O(αlogn) rounds (Morgan et al. in 35th International symposiumon distributed computing, 2021). We also provide a randomized O(αlogΔ) round distributed algorithm that sharpens the approximation factor to α(1+o(1)). If each node is restricted to do polynomial-time computations, our approximation factor is tight in the first order as it is NP-hard to achieve α-1-ε approximation (Bansal et al. in Inform Process Lett 122:21-24, 2017).
Original language | English |
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Pages (from-to) | 387-398 |
Number of pages | 12 |
Journal | Distributed Computing |
Volume | 37 |
Issue number | 4 |
DOIs | |
State | Published - Dec 2024 |
Bibliographical note
Publisher Copyright:© The Author(s) 2023.
Keywords
- Approximation algorithms
- Arboricity
- Distributed computing
- Dominating set
ASJC Scopus subject areas
- Theoretical Computer Science
- Hardware and Architecture
- Computer Networks and Communications
- Computational Theory and Mathematics