Abstract
Given a directed simple graph G = (V,E) and a cost function c:E →R + , the power of a vertex u in a directed spanning subgraph H is given by p H (u) = max uv ∈ E(H) c(uv), and corresponds to the energy consumption required for wireless node u to transmit to all nodes v with uv ∈ E(H). The power of H is given by p(H) = ∑ u ∈ 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 ∈ E, the opposite edge exists and has the same cost), while H is required to be strongly connected. This is the original power assignment problem introduce in 1989 and since then the best known approximation ratio is 2 and is achieved by a bidirected minimum spanning tree. We improve this to 2 − ε for a small ε> 0. We do this by combining techniques from Robins-Zelikovsky (2000) for Steiner Tree, Christofides (1976) for Metric Travelling Salesman, and Caragiannis, Flammini, and Moscardelli (2007) for the broadcast version of Power Assignment, together with a novel property on T-joins in certain two-edge-connected hypergraphs. With the restriction that c:E →{A,B}, where 0 ≤ A < B, we improve the best known approximation ratio from 1.8 to π 2/6 − 1/36 + ε ≤ 1.61 using an adaptation of the algorithm developed by Khuller, Raghavachari, and Young (1995,1996) for (unweighted) Minimum Strongly Connected Subgraph.
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Calinescu, G. (2010). Min-Power Strong Connectivity. In: Serna, M., Shaltiel, R., Jansen, K., Rolim, J. (eds) Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques. RANDOM APPROX 2010 2010. Lecture Notes in Computer Science, vol 6302. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15369-3_6
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DOI: https://doi.org/10.1007/978-3-642-15369-3_6
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