Parameterized Complexity of Min-Power Asymmetric Connectivity
May 29, 2020 Β· Declared Dead Β· π Theory of Computing Systems
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Authors
Matthias Bentert, Roman Haag, Christian Hofer, Tomohiro Koana, AndrΓ© Nichterlein
arXiv ID
2005.14620
Category
cs.DS: Data Structures & Algorithms
Citations
5
Venue
Theory of Computing Systems
Last Checked
4 months ago
Abstract
We investigate parameterized algorithms for the NP-hard problem Min-Power Asymmetric Connectivity (MinPAC) that has applications in wireless sensor networks. Given a directed arc-weighted graph, MinPAC asks for a strongly connected spanning subgraph minimizing the summed vertex costs. Here, the cost of each vertex is the weight of its heaviest outgoing arc in the chosen subgraph. We present linear-time algorithms for the cases where the number of strongly connected components in a so-called obligatory subgraph or the feedback edge number in the underlying undirected graph is constant. Complementing these results, we prove that the problem is W[2]-hard with respect to the solution cost, even on restricted graphs with one feedback arc and binary arc weights.
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