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Probabilistic Analysis of Rule 2
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Probabilistic Analysis of Rule 2

Jennie C Hansen, Eric Schmutz and Li Sheng
ArXiv.org
31 Aug 2004
url
https://doi.org/10.48550/arxiv.cs/0408068View
Preprint (Author's original)arXiv.org - Non-exclusive license to distribute Open

Abstract

Computer Science - Discrete Mathematics
Li and Wu proposed Rule 2, a localized approximation algorithm that attempts to find a small connected dominating set in a graph. Here we study the asymptotic performance of Rule 2 on random unit disk graphs formed from n random points in an s_n by s_n square region of the plane. If s_n is below the threshold for connectivity, then Rule 2 produces a dominating set whose expected size is O(n/(loglog n)^{3/2}). We conjecture that this bound is not optimal.

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