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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⊆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完全功率控制集问题是图中经典控制问题的“电力网络变体”:给定无向图G =(V,E),找到最小尺寸集合P setV,使得所有顶点在V由P中的顶点“观察”。在这里,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其一个邻居之外,还观察到了其余所有邻居,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”来解决幂控制集。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完备性结果,尤其表明对于平面图,圆形图和拆分图,幂控制集仍保持NP完备性。具体来说,我们改进的减少量意味着| P |为参数的功率控制集是W [2] -hard,很难比Domination Set更好地近似。

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