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dc.contributor.authorHuang, Tianyu
dc.contributor.authorGuo, Xijuan
dc.contributor.authorZhang, Yue
dc.contributor.authorChang, Zheng
dc.date.accessioned2019-04-24T05:50:48Z
dc.date.available2019-04-24T05:50:48Z
dc.date.issued2019fi
dc.identifier.citationHuang, T., Guo, X., Zhang, Y., & Chang, Z. (2019). Collaborative Content Downloading in VANETs with Fuzzy Comprehensive Evaluation. <em>Symmetry</em>, 11 (4), 502. <a href="https://doi.org/10.3390/sym11040502">doi:10.3390/sym11040502</a>fi
dc.identifier.otherTUTKAID_81204
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/63579
dc.description.abstractVehicle collaborative content downloading has become a hotspot in current vehicular ad-hoc network (VANET) research. However, in reality, the highly dynamic nature of VANET makes users lose resources easily, and the transmission of invalid segment data also wastes valuable bandwidth and storage of the users’ vehicles. In addition, the individual need of each customer vehicle should also be taken into consideration when selecting an agent vehicle for downloading. In this paper, a novel scheme is proposed for vehicle selection in the download of cooperative content from the Internet, by considering the basic evaluation information of the vehicle. To maximize the overall throughput of the system, a collaborative content downloading algorithm is proposed, which is based on fuzzy evaluation and a customer’s own expectations, in order to solve the problems of agent vehicle selection. With the premise of ensuring successful downloading and the selection preferences of customer vehicles, linear programming is used to optimize the distribution of agent vehicles and maximize customer’s satisfaction. Simulation results show that the proposed scheme works well in terms of average quality of service, average bandwidth efficiency, failure frequency, and average consumption.fi
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherMDPI AG
dc.relation.ispartofseriesSymmetry
dc.rightsCC BY 4.0
dc.subject.othervehicle collaborative content downloadingfi
dc.subject.otherfuzzy comprehensive evaluationfi
dc.subject.otherVANETfi
dc.titleCollaborative Content Downloading in VANETs with Fuzzy Comprehensive Evaluationfi
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201904162199
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.contributor.oppiaineTietotekniikka
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.date.updated2019-04-16T15:15:14Z
dc.description.reviewstatuspeerReviewed
dc.relation.issn2073-8994
dc.relation.numberinseries4
dc.relation.volume11
dc.type.versionpublishedVersion
dc.rights.copyright© 2019 by The Authors.
dc.rights.accesslevelopenAccessfi
dc.format.contentfulltext
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.3390/sym11040502


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Except where otherwise noted, this item's license is described as CC BY 4.0