An evolutionary approach to inter-session network coding

Whereas the theory and application of optimal network coding are well studied for the single-session multicast scenario, there is no known optimal network coding strategy for a more general connection problem where there are more than one session and receivers may demand different sets of informatio...

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Main Authors: O'Reilly, Una-May, Medard, Muriel, Traskov, Danail, Kim, Minkyu
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: 2010
Online Access:http://hdl.handle.net/1721.1/54694
https://orcid.org/0000-0003-4059-407X
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author O'Reilly, Una-May
Medard, Muriel
Traskov, Danail
Kim, Minkyu
author2 Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
author_facet Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
O'Reilly, Una-May
Medard, Muriel
Traskov, Danail
Kim, Minkyu
author_sort O'Reilly, Una-May
collection MIT
description Whereas the theory and application of optimal network coding are well studied for the single-session multicast scenario, there is no known optimal network coding strategy for a more general connection problem where there are more than one session and receivers may demand different sets of information. Though there have been a number of recent studies that demonstrate various utilities of network coding in the multi- session scenario, they rely on very restricted classes of codes in terms of the coding operations allowed and/or the location of decoding. In this paper, we propose a novel inter-session network coding strategy for a general connection problem. Our coding strategy allows fairly general random linear coding over a large finite field, in which decoding is done at receivers and the mixture of information at interior nodes is controlled by evolutionary mechanisms. We demonstrate how our coding strategy may surpass existing end-to-end pairwise XOR coding schemes in terms of effectiveness and practicality.
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spelling mit-1721.1/546942022-09-27T19:22:06Z An evolutionary approach to inter-session network coding Institute of Electrical and Electronics Engineers O'Reilly, Una-May Medard, Muriel Traskov, Danail Kim, Minkyu Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. Laboratory for Information and Decision Systems Medard, Muriel Kim, Minkyu O'Reilly, Una-May Medard, Muriel Whereas the theory and application of optimal network coding are well studied for the single-session multicast scenario, there is no known optimal network coding strategy for a more general connection problem where there are more than one session and receivers may demand different sets of information. Though there have been a number of recent studies that demonstrate various utilities of network coding in the multi- session scenario, they rely on very restricted classes of codes in terms of the coding operations allowed and/or the location of decoding. In this paper, we propose a novel inter-session network coding strategy for a general connection problem. Our coding strategy allows fairly general random linear coding over a large finite field, in which decoding is done at receivers and the mixture of information at interior nodes is controlled by evolutionary mechanisms. We demonstrate how our coding strategy may surpass existing end-to-end pairwise XOR coding schemes in terms of effectiveness and practicality. 2010-05-04T15:22:23Z 2010-05-04T15:22:23Z 2009-06 Article http://purl.org/eprint/type/ConferencePaper 978-1-4244-3512-8 0743-166X http://hdl.handle.net/1721.1/54694 Kim, M. et al. “An Evolutionary Approach To Inter-Session Network Coding.” INFOCOM 2009, IEEE. 2009. 450-458. © 2009 IEEE https://orcid.org/0000-0003-4059-407X en_US http://dx.doi.org/10.1109/INFCOM.2009.5061950 IEEE INFOCOM 2009 Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf IEEE
spellingShingle O'Reilly, Una-May
Medard, Muriel
Traskov, Danail
Kim, Minkyu
An evolutionary approach to inter-session network coding
title An evolutionary approach to inter-session network coding
title_full An evolutionary approach to inter-session network coding
title_fullStr An evolutionary approach to inter-session network coding
title_full_unstemmed An evolutionary approach to inter-session network coding
title_short An evolutionary approach to inter-session network coding
title_sort evolutionary approach to inter session network coding
url http://hdl.handle.net/1721.1/54694
https://orcid.org/0000-0003-4059-407X
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