Ant Colony Optimization Based Energy Saving Routing for Energy-Efficient Networks

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dc.contributor.authorKim, Young-Minko
dc.contributor.authorLee, Eun-Jungko
dc.contributor.authorPark, Hong-Shikko
dc.date.accessioned2013-03-11T18:11:02Z-
dc.date.available2013-03-11T18:11:02Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2011-07-
dc.identifier.citationIEEE COMMUNICATIONS LETTERS, v.15, no.7, pp.779 - 781-
dc.identifier.issn1089-7798-
dc.identifier.urihttp://hdl.handle.net/10203/99843-
dc.description.abstractThis letter proposes an ant colony optimization (ACO) based energy saving routing, referred to as A-ESR, for energy efficient networks. The proposed A-ESR algorithm firstly re-formulates the energy-consumption minimized network (EMN) problem, which is NP-complete, into a simpler one by using the concept of traffic centrality. After that, it solves the re-formulated problem by 1) letting the flow to autonomously be aggregated on some specific heavy-loaded links and 2) switching off the other light-loaded links. Simulation results show that the A-ESR algorithm can get better performance than previous works in terms of energy efficiency.-
dc.languageEnglish-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.titleAnt Colony Optimization Based Energy Saving Routing for Energy-Efficient Networks-
dc.typeArticle-
dc.identifier.wosid000293684100031-
dc.identifier.scopusid2-s2.0-79960564060-
dc.type.rimsART-
dc.citation.volume15-
dc.citation.issue7-
dc.citation.beginningpage779-
dc.citation.endingpage781-
dc.citation.publicationnameIEEE COMMUNICATIONS LETTERS-
dc.contributor.localauthorPark, Hong-Shik-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorAnt colony optimization-
dc.subject.keywordAuthorenergy saving routing-
dc.subject.keywordAuthorA-ESR-
dc.subject.keywordAuthortraffic centrality-
dc.subject.keywordAuthorpheromone trails-
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