Given a graph G=(V,E), the dominating set problem asks for a minimum subset of vertices D⊆V such that every vertex u ∈ V \ D is adjacent to at least one vertex v ∈ D. That is, the set D satisfies the condition that |N[v] ∩ D| ≥ 1 for each v ∈ V, where N[v] is the closed neighborhood of v. In this paper, we study two variants of the classical dominating set problem: k-tuple dominating set (k-DS) problem and Liar’s dominating set (LDS) problem, and obtain several algorithmic and hardness results. On the algorithmic side, we present a constant factor (11/2)-approximation algorithm for the Liar’s dominating set problem on unit disk graphs. Then, we design a polynomial time approximation scheme (PTAS) for the k-tuple dominating set problem on unit disk graphs. On the hardness side, we show a Ω(n2) bits lower bound for the space complexity of any (randomized) streaming algorithm for Liar’s dominating set problem as well as for the k-tuple dominating set problem. Furthermore, we prove that the Liar’s dominating set problem on bipartite graphs is W[2]-hard.
CITATION STYLE
Banerjee, S., & Bhore, S. (2019). Algorithm and Hardness Results on Liar’s Dominating Set and k-tuple Dominating Set. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11638 LNCS, pp. 48–60). Springer Verlag. https://doi.org/10.1007/978-3-030-25005-8_5
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