Publication | Closed Access
Polynomial time algorithms for network information flow
271
Citations
14
References
2003
Year
Unknown Venue
EngineeringNetwork AnalysisComputational ComplexitySink Node TDistributed Source CodingJoint Source-channel CodingMulticastMin-cut Separating SComputer ScienceNetwork MechanismCommunication AlgorithmInformation FlowNetwork ScienceGraph TheoryNetwork AlgorithmEdge ComputingNetwork Information FlowAppropriate Coding SchemesLinear Network Coding
The famous max-flow min-cut theorem states that a source node s can send information through a network (V,E) to a sink node t at a data rate determined by the min-cut separating s and t. Recently it has been shown that this rate can also be achieved for multicasting to several sinks provided that the intermediate nodes are allowed to reencode the information they receive. In contrast, we present graphs where without coding the rate must be a factor Ω(log|V|) smaller. However, so far no fast algorithms for constructing appropriate coding schemes were known. Our main result are polynomial time algorithms for constructing coding schemes for multicasting at the maximal data rate.
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