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dc.contributor.authorLiu, Liqing
dc.contributor.authorChang, Zheng
dc.contributor.authorGuo, Xijuan
dc.date.accessioned2018-11-22T12:44:40Z
dc.date.available2018-11-22T12:44:40Z
dc.date.issued2018
dc.identifier.citationLiu, L., Chang, Z., & Guo, X. (2018). Socially-aware Dynamic Computation Offloading Scheme for Fog Computing System with Energy Harvesting Devices. <i>IEEE Internet of Things Journal</i>, <i>5</i>(3), 2327-4662. <a href="https://doi.org/10.1109/JIOT.2018.2816682" target="_blank">https://doi.org/10.1109/JIOT.2018.2816682</a>
dc.identifier.otherCONVID_27980579
dc.identifier.otherTUTKAID_77243
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/60288
dc.description.abstractFog computing is considered as a promising technology to meet the ever-increasing computation requests from a wide variety of mobile applications. By offloading the computation-intensive requests to the fog node or the central cloud, the performance of the applications, such as energy consumption and delay, are able to be significantly enhanced. Meanwhile, utilizing the recent advances of social network and energy harvesting (EH) techniques, the system performance could be further improved. In this paper, we take the social relationships of the EH mobile devices (MDs) into the design of computational offloading scheme in fog computing. With the objective to minimize the social group execution cost, we advocate game theoretic approach and propose a dynamic computation offloading scheme designing the offloading process in fog computing system with EH MDs. Different queue models are applied to model the energy cost and delay performance. It can be seen that the proposed problem can be formulated as a generalized Nash equilibrium problem (GNEP) and we can use exponential penalty function method to transform the original GNEP into a classical Nash equilibrium problem and address it with semi-smooth Newton method with Armijo line search. The simulation results demonstrate the effectiveness of the proposed scheme.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers
dc.relation.ispartofseriesIEEE Internet of Things Journal
dc.rightsIn Copyright
dc.subject.otherenergiankulutus
dc.subject.othercomputation offloading
dc.subject.otherfog computing
dc.subject.othersocial-aware mobile network
dc.subject.otherenergy consumption
dc.subject.otherexecution cost
dc.subject.otherGeneralized Nash Equilibrium Problem
dc.titleSocially-aware Dynamic Computation Offloading Scheme for Fog Computing System with Energy Harvesting Devices
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201811134692
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.contributor.oppiaineTietotekniikkafi
dc.contributor.oppiaineMathematical Information Technologyen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.date.updated2018-11-13T13:15:23Z
dc.description.reviewstatuspeerReviewed
dc.format.pagerange2327-4662
dc.relation.issn2327-4662
dc.relation.numberinseries3
dc.relation.volume5
dc.type.versionacceptedVersion
dc.rights.copyright© 2018, IEEE
dc.rights.accesslevelopenAccessfi
dc.relation.grantnumber284748
dc.subject.ysoenergian kerääminen
dc.subject.ysomobiililaitteet
dc.subject.ysopilvipalvelut
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p38234
jyx.subject.urihttp://www.yso.fi/onto/yso/p4834
jyx.subject.urihttp://www.yso.fi/onto/yso/p24167
dc.rights.urlhttp://rightsstatements.org/page/InC/1.0/?language=en
dc.relation.doi10.1109/JIOT.2018.2816682
dc.relation.funderSuomen Akatemiafi
dc.relation.funderAcademy of Finlanden
jyx.fundingprogramKV-yhteishanke, SAfi
jyx.fundingprogramJoint International Project, AoFen


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