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

机译:最小重量连通支配集的近似最佳分布逼近

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This paper presents a near-optimal distributed approximation algorithm for the minimum-weight connected dominating set (MCDS) problem. We use the standard distributed message passing model called the CONGEST model in which in each round each node can send O(log n) bits to each neighbor. The presented algorithm finds an O(logn) approximation in O(D + n~(1/2)) 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 O(D+ n~(1/2)) round complexity is known to be optimal modulo logarithmic factors (for any approximation), following [Das Sarma et al.-STOC'11].
机译:针对最小权重连接支配集(MCDS)问题,本文提出了一种接近最优的分布式近似算法。我们使用称为CON​​GEST模型的标准分布式消息传递模型,在该模型中,每个节点中的每个节点都可以向每个邻居发送O(log n)位。该算法在O(D + n〜(1/2))个回合中找到O(logn)近似值,其中D是网络直径,n是节点数。 MCDS是经典的NP难题,并且除非P = NP,否则获得的逼近因子O(log n)直到一个恒定因子都是最佳的。此外,遵循[Das Sarma et al.-STOC'11],已知O(D + n〜(1/2))轮复杂度是最佳模对数因子(对于任何近似)。

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