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Improved Algorithms and Complexity Results for Power Domination in Graphs

机译:图中功率支配的改进算法和复杂度结果

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The NP-complete Power Dominating Set problem is an "electric power networks variant" of the classical domination problem in graphs: Given an undirected graph G = (V, E), find a minimum-size set P is contained in V such that all vertices in V are "observed" by the vertices in P. Herein, a vertex observes itself and all its neighbors, and if an observed vertex has all but one of its neighbors observed, then the remaining neighbor becomes observed as well. We show that POWER DOMINATING Set can be solved by "bounded-treewidth dynamic programs." For treewidth being upper-bounded by a constant, we achieve a linear-time algorithm. In particular, we present a simplified linear-time algorithm for Power Dominating Set in trees. Moreover, we simplify and extend several NP-completeness results, particularly showing that POWER DOMINATING Set remains NP-complete for planar graphs, for circle graphs, and for split graphs. Specifically, our improved reductions imply that POWER DOMINATING SET parameterized by |P| is W[2]-hard and it cannot be better approximated than DOMINATING Set.
机译:NP完全功率支配集问题是图中经典支配问题的“电力网络变体”:给定无向图G =(V,E),找到最小尺寸集P包含在V中,使得所有V中的顶点被P中的顶点“观察”。在此,一个顶点将观察其自身及其所有邻居,并且如果一个观察到的顶点除了观察到了一个邻居之外的所有邻居,那么其余的邻居也将被观察到。我们表明,可以通过“有界树宽动态程序”解决POWER DOMINATING集。对于树宽以常量为上限,我们实现了线性时间算法。特别是,我们提出了一种用于树中功率支配集的简化线性时间算法。此外,我们简化并扩展了几个NP完全性结果,特别是表明对于平面图,圆形图和拆分图,POWER DOMINATING Set仍保持NP完全性。具体而言,我们改进的减少量意味着| P |参数化的POWER DOMINATING SET是W [2] -hard,很难比DOMINATING Set更好地近似。

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