Detailed Information

Cited 0 time in webofscience Cited 2 time in scopus
Metadata Downloads

Enhanced smart edge broker using fog computing for smart homes

Full metadata record
DC Field Value Language
dc.contributor.authorAhn, Junguk-
dc.contributor.authorLee, Byung Mun-
dc.date.accessioned2021-10-21T07:40:23Z-
dc.date.available2021-10-21T07:40:23Z-
dc.date.created2021-10-21-
dc.date.issued2019-05-
dc.identifier.issn0974-0635-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/82465-
dc.description.abstractSmart homes with IoT technologies provide convenience in our daily lives. If it is linked to smart city infrastructure through the expansion of service range, it can provide higher quality services. However, if the service range becomes wider, it may increase latency, which may in turn cause an overload. These problems are attributable to the increasing number of sensors that need to be monitored and the expansion of the service area. These problems can be solved by intelligently distributing the data measured in each area. Therefore, in this paper, we propose a Smart Edge Broker to intelligently transmit data traffic generated by a smart city in a wide area to prevent the traffic from being transmitted or bypassed to an area where traffic is not necessary. It is also suitable to operate it as a fog computing model by placing it at the edge of a smart city network. © 2019 GV Press.-
dc.language영어-
dc.language.isoen-
dc.publisherCentre for Environment and Socio-Economic Research Publications-
dc.relation.isPartOfInternational Journal of Artificial Intelligence-
dc.titleEnhanced smart edge broker using fog computing for smart homes-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass1-
dc.identifier.doi10.21742/IJAIASD.2019.7.1.01-
dc.identifier.bibliographicCitationInternational Journal of Artificial Intelligence, v.7, no.1, pp.1 - 6-
dc.description.isOpenAccessN-
dc.identifier.scopusid2-s2.0-85089145390-
dc.citation.endPage6-
dc.citation.startPage1-
dc.citation.titleInternational Journal of Artificial Intelligence-
dc.citation.volume7-
dc.citation.number1-
dc.contributor.affiliatedAuthorAhn, Junguk-
dc.contributor.affiliatedAuthorLee, Byung Mun-
dc.type.docTypeArticle-
dc.subject.keywordAuthorFog Computing-
dc.subject.keywordAuthorIoT-
dc.subject.keywordAuthorSmart City-
dc.subject.keywordAuthorSmart Home-
dc.description.journalRegisteredClassscopus-
Files in This Item
There are no files associated with this item.
Appears in
Collections
IT융합대학 > 컴퓨터공학과 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Lee, Byung Mun photo

Lee, Byung Mun
College of IT Convergence (컴퓨터공학부(컴퓨터공학전공))
Read more

Altmetrics

Total Views & Downloads

BROWSE