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Deterministic Distributed Dominating Set Approximation in the CONGEST Model

26 May 2019
Janosch Deurer
Fabian Kuhn
Yannic Maus
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Abstract

We develop deterministic approximation algorithms for the minimum dominating set problem in the CONGEST model with an almost optimal approximation guarantee. For ϵ>1/polylog⁡Δ\epsilon>1/{\text{{poly}}}\log \Deltaϵ>1/polylogΔ we obtain two algorithms with approximation factor (1+ϵ)(1+ln⁡(Δ+1))(1+\epsilon)(1+\ln (\Delta+1))(1+ϵ)(1+ln(Δ+1)) and with runtimes 2O(log⁡nlog⁡log⁡n)2^{O(\sqrt{\log n \log\log n})}2O(lognloglogn​) and O(Δ⋅polylog⁡Δ+polylog⁡Δlog⁡∗n)O(\Delta\cdot\text{poly}\log \Delta +\text{poly}\log \Delta \log^{*} n)O(Δ⋅polylogΔ+polylogΔlog∗n), respectively. Further we show how dominating set approximations can be deterministically transformed into a connected dominating set in the \CONGEST model while only increasing the approximation guarantee by a constant factor. This results in a deterministic O(log⁡Δ)O(\log \Delta)O(logΔ)-approximation algorithm for the minimum connected dominating set with time complexity 2O(log⁡nlog⁡log⁡n)2^{O(\sqrt{\log n \log\log n})}2O(lognloglogn​).

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