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Opportunistic offloading scheme for content delivery service using electro-mobility networks

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dc.contributor.authorKyung, Yeunwoong-
dc.contributor.authorKim, Eunchan-
dc.contributor.authorSong, Taewon-
dc.date.accessioned2022-11-29T01:40:32Z-
dc.date.available2022-11-29T01:40:32Z-
dc.date.issued2022-08-
dc.identifier.issn1751-956X-
dc.identifier.issn1751-9578-
dc.identifier.urihttps://scholarworks.bwise.kr/sch/handle/2021.sw.sch/21645-
dc.description.abstractVehicular caching (VC) in electro-mobility networks has become promising for supporting the needs of low end-to-end service delays and reducing the load of networks (i.e. edge caching [EC]) for content delivery service. However, since VCs are available only when they are in the vicinity of the user, intermittent connectivity should be considered. In this paper, the opportunistic offloading scheme for content delivery service is proposed, and a decision is made regarding whether to use VC or EC for the content delivery service. In the proposed scheme, when VC is not available, the user determines whether to choose VC or EC for the content download. If VC is chosen, the user delays the content download to increase the VC utilization according to the expectation of VC contacts. This results in the delayed service completion but can reduce the EC load (i.e. offloading gain). If EC is chosen, the user can download the content without any delay or service interruption. To find the optimal policy, this paper formulates a Markov decision process (MDP) problem and uses the value iteration algorithm to solve the problem. The evaluation results show that the proposed scheme outperforms the comparison schemes based on the expected reward.-
dc.language영어-
dc.language.isoENG-
dc.publisherInstitution of Engineering and Technology-
dc.titleOpportunistic offloading scheme for content delivery service using electro-mobility networks-
dc.typeArticle-
dc.publisher.location영국-
dc.identifier.doi10.1049/itr2.12255-
dc.identifier.scopusid2-s2.0-85135506148-
dc.identifier.wosid000836874000001-
dc.identifier.bibliographicCitationIET Intelligent Transport Systems-
dc.citation.titleIET Intelligent Transport Systems-
dc.type.docTypeArticle; Early Access-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaTransportation-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryTransportation Science & Technology-
dc.subject.keywordPlusINTERNET-
dc.subject.keywordPlus5G-
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College of Software Convergence (사물인터넷학과)
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