A Fog Computing Model for VANET to Reduce Latency and Delay Using 5G Network in Smart City Transportation
dc.contributor.author | Farooqi, Abdul Majid | |
dc.contributor.author | Alam, M. Afshar | |
dc.contributor.author | Hassan, Syed Imtiyaz | |
dc.contributor.author | Sheikh, Mohammad Idrees | |
dc.date.accessioned | 2023-02-15T07:01:48Z | |
dc.date.available | 2023-02-15T07:01:48Z | |
dc.date.created | 2022-03-05T20:36:00Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Applied Sciences. 2022, 12 (4), . | en_US |
dc.identifier.issn | 2076-3417 | |
dc.identifier.uri | https://hdl.handle.net/11250/3050875 | |
dc.language.iso | eng | en_US |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | A Fog Computing Model for VANET to Reduce Latency and Delay Using 5G Network in Smart City Transportation | en_US |
dc.title.alternative | A Fog Computing Model for VANET to Reduce Latency and Delay Using 5G Network in Smart City Transportation | en_US |
dc.type | Journal article | en_US |
dc.type | Peer reviewed | en_US |
dc.description.version | publishedVersion | en_US |
dc.source.pagenumber | 15 | en_US |
dc.source.volume | 12 | en_US |
dc.source.journal | Applied Sciences | en_US |
dc.source.issue | 4 | en_US |
dc.identifier.doi | 10.3390/app12042083 | |
dc.identifier.cristin | 2007810 | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 |