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Article: Dense Moving Fog for Intelligent IoT: Key Challenges and Opportunities

TitleDense Moving Fog for Intelligent IoT: Key Challenges and Opportunities
Authors
KeywordsInternet of Things
5G mobile communication
Cloud computing
Sensors
Collaboration
Issue Date2019
PublisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at http://www.comsoc.org/commag
Citation
IEEE Communications Magazine, 2019, v. 57 n. 5, p. 34-41 How to Cite?
AbstractAs the ratification of 5G New Radio technology is being completed, enabling network architectures are expected to undertake a matching effort. Conventional cloud and edge computing paradigms may thus become insufficient in supporting the increasingly stringent operating requirements of intelligent IoT devices that can move unpredictably and at high speeds. Complementing these, the concept of fog emerges to deploy cooperative cloud-like functions in the immediate vicinity of various moving devices, such as connected and autonomous vehicles, on the road and in the air. Envisioning the gradual evolution of these infrastructures toward an increasingly denser geographical distribution of fog functionality, we in this work put forward the vision of dense moving fog for intelligent IoT applications. To this aim, we review the recent powerful enablers, outline the main challenges and opportunities, and corroborate the performance benefits of collaborative dense fog operation in a characteristic use case featuring a connected fleet of autonomous vehicles.
Persistent Identifierhttp://hdl.handle.net/10722/277221
ISSN
2019 Impact Factor: 11.052
2015 SCImago Journal Rankings: 3.133

 

DC FieldValueLanguage
dc.contributor.authorAndreev, S-
dc.contributor.authorPetrov, V-
dc.contributor.authorHuang, K-
dc.contributor.authorLema, MA-
dc.contributor.authorDohler, M-
dc.date.accessioned2019-09-20T08:46:56Z-
dc.date.available2019-09-20T08:46:56Z-
dc.date.issued2019-
dc.identifier.citationIEEE Communications Magazine, 2019, v. 57 n. 5, p. 34-41-
dc.identifier.issn0163-6804-
dc.identifier.urihttp://hdl.handle.net/10722/277221-
dc.description.abstractAs the ratification of 5G New Radio technology is being completed, enabling network architectures are expected to undertake a matching effort. Conventional cloud and edge computing paradigms may thus become insufficient in supporting the increasingly stringent operating requirements of intelligent IoT devices that can move unpredictably and at high speeds. Complementing these, the concept of fog emerges to deploy cooperative cloud-like functions in the immediate vicinity of various moving devices, such as connected and autonomous vehicles, on the road and in the air. Envisioning the gradual evolution of these infrastructures toward an increasingly denser geographical distribution of fog functionality, we in this work put forward the vision of dense moving fog for intelligent IoT applications. To this aim, we review the recent powerful enablers, outline the main challenges and opportunities, and corroborate the performance benefits of collaborative dense fog operation in a characteristic use case featuring a connected fleet of autonomous vehicles.-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at http://www.comsoc.org/commag-
dc.relation.ispartofIEEE Communications Magazine-
dc.rightsIEEE Communications Magazine. Copyright © Institute of Electrical and Electronics Engineers.-
dc.rights©20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.subjectInternet of Things-
dc.subject5G mobile communication-
dc.subjectCloud computing-
dc.subjectSensors-
dc.subjectCollaboration-
dc.titleDense Moving Fog for Intelligent IoT: Key Challenges and Opportunities-
dc.typeArticle-
dc.identifier.emailHuang, K: huangkb@eee.hku.hk-
dc.identifier.authorityHuang, K=rp01875-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/MCOM.2019.1800226-
dc.identifier.scopuseid_2-s2.0-85062145622-
dc.identifier.hkuros305400-
dc.identifier.volume57-
dc.identifier.issue5-
dc.identifier.spage34-
dc.identifier.epage41-
dc.publisher.placeUnited States-

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