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Conference Paper: Network coding optimization based on chemical reaction optimization

TitleNetwork coding optimization based on chemical reaction optimization
Authors
KeywordsChemical Reaction Optimization
Evolutionary Algorithm
Network Coding
Optimization
Issue Date2011
PublisherIEEE. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000308
Citation
The 54th Annual IEEE Global Telecommunications Conference (GLOBECOM 2011), Houston, TX., 5-9 December 2011. In In Globecom IEEE Conference and Exhibition, 2011, p. 1-5 Globecom - IEEE Global Telecommunications Conference, 2011 How to Cite?
AbstractNetwork coding may improve network efficiency. However, it is not necessary to code every link to meet a given transmission rate. In this paper, we consider the NP-hard problem of minimizing the number of coding links of a network for a given target transmission rate. Chemical Reaction Optimization (CRO) is a general purpose metaheuristic, which have been demonstrated to be effective in many optimization problems. We adopt the CRO framework to develop an algorithm to solve this NP-hard problem. Simulation results show that CRO outperforms existing algorithms with two sets of test network topologies. © 2011 IEEE.
DescriptionConference Theme: Energizing Global Communications
Persistent Identifierhttp://hdl.handle.net/10722/158777
References

 

DC FieldValueLanguage
dc.contributor.authorPan, Ben_US
dc.contributor.authorLam, AYSen_US
dc.contributor.authorLi, VOKen_US
dc.date.accessioned2012-08-08T09:01:16Z-
dc.date.available2012-08-08T09:01:16Z-
dc.date.issued2011en_US
dc.identifier.citationThe 54th Annual IEEE Global Telecommunications Conference (GLOBECOM 2011), Houston, TX., 5-9 December 2011. In In Globecom IEEE Conference and Exhibition, 2011, p. 1-5 Globecom - IEEE Global Telecommunications Conference, 2011en_US
dc.identifier.urihttp://hdl.handle.net/10722/158777-
dc.descriptionConference Theme: Energizing Global Communications-
dc.description.abstractNetwork coding may improve network efficiency. However, it is not necessary to code every link to meet a given transmission rate. In this paper, we consider the NP-hard problem of minimizing the number of coding links of a network for a given target transmission rate. Chemical Reaction Optimization (CRO) is a general purpose metaheuristic, which have been demonstrated to be effective in many optimization problems. We adopt the CRO framework to develop an algorithm to solve this NP-hard problem. Simulation results show that CRO outperforms existing algorithms with two sets of test network topologies. © 2011 IEEE.en_US
dc.languageengen_US
dc.publisherIEEE. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000308-
dc.relation.ispartofGLOBECOM - IEEE Global Telecommunications Conferenceen_US
dc.rights©2011 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectChemical Reaction Optimizationen_US
dc.subjectEvolutionary Algorithmen_US
dc.subjectNetwork Codingen_US
dc.subjectOptimizationen_US
dc.titleNetwork coding optimization based on chemical reaction optimizationen_US
dc.typeConference_Paperen_US
dc.identifier.emailLam, AYS: ayslam@eee.hku.hken_US
dc.identifier.emailLi, VOK:vli@eee.hku.hk-
dc.identifier.authorityLi, VOK=rp00150en_US
dc.identifier.authorityLam, AYS=rp02083-
dc.identifier.authorityLi, VOK=rp00150-
dc.description.naturepublished_or_final_versionen_US
dc.identifier.doi10.1109/GLOCOM.2011.6133697en_US
dc.identifier.scopuseid_2-s2.0-84857222849en_US
dc.identifier.hkuros210650-
dc.identifier.hkuros261771-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-84857222849&selection=ref&src=s&origin=recordpageen_US
dc.identifier.scopusauthoridPan, B=55005026900en_US
dc.identifier.scopusauthoridLam, AYS=35322184700en_US
dc.identifier.scopusauthoridLi, VOK=7202621685en_US
dc.customcontrol.immutablesml 160909 - merged-

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