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arxiv: 1404.7559 · v1 · pith:NPR2BRPMnew · submitted 2014-04-30 · 💻 cs.DS · cs.DC

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

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

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