File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1109/MCOM.2019.1800226
- Scopus: eid_2-s2.0-85062145622
- WOS: WOS:000472573500005
- Find via
Supplementary
- Citations:
- Appears in Collections:
Article: Dense Moving Fog for Intelligent IoT: Key Challenges and Opportunities
Title | Dense Moving Fog for Intelligent IoT: Key Challenges and Opportunities |
---|---|
Authors | |
Keywords | Internet of Things 5G mobile communication Cloud computing Sensors Collaboration |
Issue Date | 2019 |
Publisher | Institute 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? |
Abstract | As 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 Identifier | http://hdl.handle.net/10722/277221 |
ISSN | 2023 Impact Factor: 8.3 2023 SCImago Journal Rankings: 5.631 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Andreev, S | - |
dc.contributor.author | Petrov, V | - |
dc.contributor.author | Huang, K | - |
dc.contributor.author | Lema, MA | - |
dc.contributor.author | Dohler, M | - |
dc.date.accessioned | 2019-09-20T08:46:56Z | - |
dc.date.available | 2019-09-20T08:46:56Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | IEEE Communications Magazine, 2019, v. 57 n. 5, p. 34-41 | - |
dc.identifier.issn | 0163-6804 | - |
dc.identifier.uri | http://hdl.handle.net/10722/277221 | - |
dc.description.abstract | As 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.language | eng | - |
dc.publisher | Institute of Electrical and Electronics Engineers. The Journal's web site is located at http://www.comsoc.org/commag | - |
dc.relation.ispartof | IEEE Communications Magazine | - |
dc.rights | IEEE 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.subject | Internet of Things | - |
dc.subject | 5G mobile communication | - |
dc.subject | Cloud computing | - |
dc.subject | Sensors | - |
dc.subject | Collaboration | - |
dc.title | Dense Moving Fog for Intelligent IoT: Key Challenges and Opportunities | - |
dc.type | Article | - |
dc.identifier.email | Huang, K: huangkb@eee.hku.hk | - |
dc.identifier.authority | Huang, K=rp01875 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/MCOM.2019.1800226 | - |
dc.identifier.scopus | eid_2-s2.0-85062145622 | - |
dc.identifier.hkuros | 305400 | - |
dc.identifier.volume | 57 | - |
dc.identifier.issue | 5 | - |
dc.identifier.spage | 34 | - |
dc.identifier.epage | 41 | - |
dc.identifier.isi | WOS:000472573500005 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 0163-6804 | - |