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Two algorithms for minimum 2-connected r-hop dominating set

机译:最小2连通r跳支配集的两种算法

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For a graph G = (V,E), a subset D is containnet in V is an r-hop dominating set if every vertex u ∈ V - D is at most r-hops away from D. It is a 2-connected r-hop dominating set if the subgraph of C induced by D is 2-connected. In this paper, we present two approximation algorithms to compute minimum 2-connected r-hop dominating set. The first one is a greedy algorithm using ear decomposition of 2-connected graphs. This algorithm is applicable to any 2-connected general graph. The second one is a three-phase algorithm which is only applicable to unit disk graphs. For both algorithms, performance ratios are given.
机译:对于图G =(V,E),如果每个顶点u∈V-D距D最多r跳,则子集D是containnet,其中V是r跳支配集。它是2连通的r -由D诱导的C的子图是2连接的-跳跃控制集。在本文中,我们提出了两种近似算法来计算最小的2连通r跳支配集。第一个是使用2个连通图的耳朵分解的贪婪算法。该算法适用于任何2连通的一般图。第二个是三相算法,仅适用于单位磁盘图。对于这两种算法,都给出了性能比。

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