Only the source’s and sink’s neighborhood matters: convergence results for unicast and multicast connections on random graphs and hypergraphs.
Author(s)
Casse, Jérôme; Medard, Muriel
DownloadAccepted version (365.0Kb)
Open Access Policy
Open Access Policy
Creative Commons Attribution-Noncommercial-Share Alike
Terms of use
Metadata
Show full item recordAbstract
Copyright © 2013 ICST. We study the maximum flow on random weighted directed graphs and hypergraphs, that generalize Erdös-Rényi graphs. We show that, for a single unicast connection chosen at random, its capacity, determined by the max-flow between source and sink, converges in probability to the capacity around the source or sink. Using results from network coding, we generalize this result to different types multicast connections, whose capacity is given by the max-flow between the source(s) and sinks. Our convergence results indicate that the capacity of unicast and multicast connections using network coding are, with high probability, unaffected by network size in random networks. Our results generalize to networks with random erasures.
Date issued
2014Department
Massachusetts Institute of Technology. Research Laboratory of Electronics; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer SciencePublisher
ICST
Citation
Medard, Muriel and Casse, Jérôme. 2014. "Only the source’s and sink’s neighborhood matters: convergence results for unicast and multicast connections on random graphs and hypergraphs.."
Version: Author's final manuscript