Title :
Pruning Network Coding Traffic by Network Coding—A New Class of Max-Flow Algorithms
Author_Institution :
Center for Wireless Syst. & Applic. (CWSA), Purdue Univ., West Lafayette, IN, USA
fDate :
4/1/2010 12:00:00 AM
Abstract :
This work explores new graph-theoretic and algebraic behaviors of network codes and provides a new class of coding-based, distributed max-flow algorithms. The proposed algorithm starts from broadcasting the coded packets, followed by continuously trimming the redundant traffic that does not constitute the maximum flow of the network information. The convergence speed of the proposed algorithms is no slower than that of the existing push-&-relabel max-flow algorithms. The algorithmic results in this work also possess several unique features that are especially suitable for practical network implementation with low control, communication, and complexity overhead.
Keywords :
graph theory; network coding; telecommunication traffic; coded packets broadcasting; distributed max flow algorithm; network coding traffic; push-&-relabel max flow algorithm; Algorithm design and analysis; Broadcasting; Communication system control; Communication system traffic control; Convergence; Cost function; Multicast algorithms; Network coding; Telecommunication traffic; Unicast; Coded-feedback; max-flow algorithms; multipath routing; network coding; network multi cast; random linear coding;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2010.2040859