Dandelion-encoded harmony search heuristics for opportunistic traffic offloading in synthetically modeled mobile networks

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dc.contributor.authorPerfecto, Cristina
dc.contributor.authorBilbao, Miren Nekane
dc.contributor.authorDel Ser, Javier
dc.contributor.authorFerro, Armando
dc.contributor.authorSalcedo-Sanz, Sancho
dc.contributor.editorGeem, Zong Woo
dc.contributor.editorKim, Joong Hoon
dc.contributor.institutionIA
dc.date.issued2016
dc.descriptionPublisher Copyright: © Springer-Verlag Berlin Heidelberg 2016.
dc.description.abstractThe high data volumes being managed by and transferred through mobile networks in the last few years are the main rationale for the upsurge of research aimed at finding efficient technical means to offload exceeding traffic to alternative communication infrastructures with higher transmission bandwidths. This idea is solidly buttressed by the proliferation of short-range wireless communication technologies (e.g.mobile devices with multiple radio interfaces), which can be conceived as available opportunistic hotspots to which the operator can reroute exceeding network traffic depending on the contractual clauses of the owner at hand. Furthermore, by offloading to such hotspots a higher effective coverage can be attained by those operators providing both mobile and fixed telecommunication services. In this context, the operator must decide if data generated by its users will be sent over conventional 4G+/4G/3G communication links, or if they will instead be offloaded to nearby opportunistic networks assuming a contractual cost penalty. Mathematically speaking, this problem can be formulated as a spanning tree optimization subject to cost-performance criteria and coverage constraints. This paper will elaborate on the efficient solving of this optimization paradigm by means of the Harmony Search meta-heuristic algorithm and the so-called Dandelion solution encoding, the latter allowing for the use of conventional meta-heuristic operators maximally preserving the locality of tree representations. The manuscript will discuss the obtained simulation results over different synthetically modeled setups of the underlying communication scenario and contractual clauses of the users.en
dc.description.statusPeer reviewed
dc.format.extent13
dc.format.extent366229
dc.identifier.citationPerfecto , C , Bilbao , M N , Del Ser , J , Ferro , A & Salcedo-Sanz , S 2016 , Dandelion-encoded harmony search heuristics for opportunistic traffic offloading in synthetically modeled mobile networks . in Z W Geem & J H Kim (eds) , Harmony Search Algorithm - Proceedings of the 2nd International Conference on Harmony Search Algorithm, ICHSA 2015 . Advances in Intelligent Systems and Computing , vol. 382 , Springer Verlag , pp. 133-145 , 2nd International Conference on Harmony Search Algorithm, ICHSA 2015 , Seoul , Korea, Republic of , 19/08/15 . https://doi.org/10.1007/978-3-662-47926-1_14
dc.identifier.citationconference
dc.identifier.doi10.1007/978-3-662-47926-1_14
dc.identifier.isbn9783662479254
dc.identifier.issn2194-5357
dc.identifier.otherresearchoutputwizard: 11556/147
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=84946780838&partnerID=8YFLogxK
dc.language.isoeng
dc.publisherSpringer Verlag
dc.relation.ispartofHarmony Search Algorithm - Proceedings of the 2nd International Conference on Harmony Search Algorithm, ICHSA 2015
dc.relation.ispartofseriesAdvances in Intelligent Systems and Computing
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywordsDandelion code
dc.subject.keywordsHarmony search
dc.subject.keywordsTraffic offloading
dc.subject.keywordsControl and Systems Engineering
dc.subject.keywordsGeneral Computer Science
dc.subject.keywordsFunding Info
dc.subject.keywordsMinisterio de Economia y Competitividad (MINECO) España, TEC2013-46766-R
dc.subject.keywordsMinisterio de Economia y Competitividad (MINECO) España, TEC2013-46766-R
dc.titleDandelion-encoded harmony search heuristics for opportunistic traffic offloading in synthetically modeled mobile networksen
dc.typeconference output
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