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arxiv: cs/0408068 · v1 · submitted 2004-08-31 · 💻 cs.DM

Probabilistic Analysis of Rule 2

classification 💻 cs.DM
keywords ruledominatingrandomalgorithmanalysisapproximationasymptoticattempts
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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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