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1.61-approximation for min-power strong connectivity with two power levels

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Abstract

Given a directed simple graph \(G=(V,E)\) and a cost function \(c:E \rightarrow R_+\), the power of a vertex \(u\) in a directed spanning subgraph \(H\) is given by \(p_H(u) = \max _{uv \in E(H)} c(uv)\), and corresponds to the energy consumption required for wireless node \(u\) to transmit to all nodes \(v\) with \(uv \in E(H)\). The power of \(H\) is given by \(p(H) = \sum _{u \in V} p_H(u)\). Power Assignment seeks to minimize \(p(H)\) while \(H\) satisfies some connectivity constraint. In this paper, we assume \(E\) is bidirected (for every directed edge \(e \in E\), the opposite edge exists and has the same cost), while \(H\) is required to be strongly connected. Moreover, we assume \(c:E \rightarrow \{A,B\}\), where \(0 \le A < B\). We improve the best known approximation ratio from 1.75 (Chen et al. IEEE GLOBECOM 2005) to \(\pi ^2/6 - 1/36 + \epsilon \le 1.61\) using an adaptation of the algorithm developed by Khuller et al. [SIAM J Comput 24(4):859–872 1995, Discr Appl Math 69(3):281–289 1996] for (unweighted) Minimum Strongly Connected Subgraph.

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Acknowledgments

Research supported in part by NSF Grants CCF-0515088 and NeTS-0916743.

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Correspondence to Gruia Călinescu.

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These results appeared in a preliminary version in the proceedings of the International Workshop on Approximation Algorithms for Combinatorial Optimization (APPROX 2010).

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Călinescu, G. 1.61-approximation for min-power strong connectivity with two power levels. J Comb Optim 31, 239–259 (2016). https://doi.org/10.1007/s10878-014-9738-9

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