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Renewable Energy with Energy-Efficient Distributed Processing for IoT

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dc.contributor.authorLi, Jiaqi-
dc.contributor.authorHwang, Seung-Hoon-
dc.date.accessioned2023-04-27T13:41:13Z-
dc.date.available2023-04-27T13:41:13Z-
dc.date.issued2022-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/3837-
dc.description.abstractIn this paper, we extend a Mixed Integer Linear Programming (MILP) model to study the impact of renewable energy available represented by wind farms and solar power on the data centre over a multi-layer distributed IoT architecture supported by fog and cloud. The results show that compared to the traditional two-layer architecture in an un-capacitated design approach, energy savings in renewable energy are up to 60% with high workload services. Compared to the data centre powered by non-renewable energy, the model can achieve up to 30% energy savings. © 2022 IEEE.-
dc.format.extent5-
dc.language영어-
dc.language.isoENG-
dc.publisherIEEE-
dc.titleRenewable Energy with Energy-Efficient Distributed Processing for IoT-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1109/APWCS55727.2022.9906482-
dc.identifier.scopusid2-s2.0-85141526602-
dc.identifier.wosid001333851300034-
dc.identifier.bibliographicCitation2022 IEEE VTS Asia Pacific Wireless Communications Symposium (APWCS), pp 160 - 164-
dc.citation.title2022 IEEE VTS Asia Pacific Wireless Communications Symposium (APWCS)-
dc.citation.startPage160-
dc.citation.endPage164-
dc.type.docTypeProceedings Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassforeign-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaTelecommunications-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.relation.journalWebOfScienceCategoryComputer Science, Theory & Methods-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryTelecommunications-
dc.subject.keywordAuthorCloud computing-
dc.subject.keywordAuthorenergy consumption-
dc.subject.keywordAuthorenergy efficiency-
dc.subject.keywordAuthorfog computing-
dc.subject.keywordAuthorIoT-
dc.subject.keywordAuthorrenewable energy-
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