Vehicular Fog Computing for Video Crowdsourcing: Applications, Feasibility, and Challenges
dc.contributor.author
Zhu, Chao
dc.contributor.author
Pastor, Giancarlo
dc.contributor.author
Xiao, Yu
dc.contributor.author
Ylajaaski, Antti
dc.date.accessioned
2018-11-16T11:39:18Z
dc.date.available
2018-11-09T05:56:45Z
dc.date.available
2018-11-16T11:39:18Z
dc.date.issued
2018-10
dc.identifier.issn
0163-6804
dc.identifier.issn
1558-1896
dc.identifier.other
10.1109/MCOM.2018.1800116
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/302514
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.title
Vehicular Fog Computing for Video Crowdsourcing: Applications, Feasibility, and Challenges
en_US
dc.type
Journal Article
dc.date.published
2018-10-16
ethz.journal.title
IEEE Communications Magazine
ethz.journal.volume
56
en_US
ethz.journal.issue
10
en_US
ethz.journal.abbreviated
IEEE Commun. Mag.
ethz.pages.start
58
en_US
ethz.pages.end
63
en_US
ethz.identifier.scopus
ethz.publication.place
New York, NY
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2018-11-09T05:56:47Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2018-11-16T11:39:27Z
ethz.rosetta.lastUpdated
2023-02-06T16:35:44Z
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true
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Journal Article [120711]