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A path-oriented encoding evolutionary algorithm for network coding resource minimization

Xing, Huanlai; Qu, Rong; Kendall, Graham; Bai, Ruibin

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Authors

Huanlai Xing

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RONG QU rong.qu@nottingham.ac.uk
Professor of Computer Science

GRAHAM KENDALL GRAHAM.KENDALL@NOTTINGHAM.AC.UK
Professor of Computer Science

Ruibin Bai



Abstract

Network coding is an emerging telecommunication technique, where any intermediate node is allowed to recombine incoming data if necessary. This technique helps to increase the throughput, however, very likely at the cost of huge amount of computational overhead, due to the packet recombination performed (ie coding operations). Hence, it is of practical importance to reduce coding operations while retaining the benefits that network coding brings to us. In this paper, we propose a novel evolutionary algorithm (EA) to minimize the amount of coding operations involved. Different from the state-of-the-art EAs which all use binary encodings for the problem, our EA is based on path-oriented encoding. In this new encoding scheme, each chromosome is represented by a union of paths originating from the source and terminating at one of the receivers. Employing path-oriented encoding leads to a search space where all solutions are feasible, which fundamentally facilitates more efficient search of EAs. Based on the new encoding, we develop three basic operators, that is, initialization, crossover and mutation. In addition, we design a local search operator to improve the solution quality and hence the performance of our EA. The simulation results demonstrate that our EA significantly outperforms the state-of-the-art algorithms in terms of global exploration and computational time.

Citation

Xing, H., Qu, R., Kendall, G., & Bai, R. (2014). A path-oriented encoding evolutionary algorithm for network coding resource minimization. Journal of the Operational Research Society, 65(8), https://doi.org/10.1057/jors.2013.79

Journal Article Type Article
Online Publication Date Jul 17, 2013
Publication Date Aug 31, 2014
Deposit Date Mar 17, 2015
Publicly Available Date Mar 29, 2024
Journal Journal of the Operational Research Society
Print ISSN 0160-5682
Electronic ISSN 0160-5682
Publisher Taylor & Francis Open
Peer Reviewed Peer Reviewed
Volume 65
Issue 8
DOI https://doi.org/10.1057/jors.2013.79
Public URL https://nottingham-repository.worktribe.com/output/733637
Publisher URL http://www.palgrave-journals.com/jors/journal/v65/n8/full/jors201379a.html
Additional Information This is a post-peer-review, pre-copyedit version of an article published in Journal of the Operational Research Society. The definitive publisher-authenticated version Journal of the Operational Research Society, vol. 65 (8), 2014, doi: 10.1057/jors.2013.79 is available online at: http://www.palgrave-journals.com/jors/journal/v65/n8/full/jors201379a.html.

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