A network stack for computation-centric vehicular networking

dc.contributor.authorGrewe, Dennis
dc.contributor.authorMarxer, Claudio
dc.contributor.authorScherb, Christopher
dc.contributor.authorWagner, Marco
dc.contributor.authorTschudin, Christian
dc.date.accessioned2024-04-19T05:25:06Z
dc.date.available2024-04-19T05:25:06Z
dc.date.issued2018
dc.description.abstractRecently, vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) connectivity transitioned from a vision of the future to reality. Applications in such environments vary from local propagation of road conditions to large-scale traffic flow control systems. In this demo, we present a network stack for the data exchange in the automotive IoT, based on the Named Function Networking (NFN) principles. In NFN, the communication model is not restricted to propagation of static data but natively supports computation-offloading to other nodes. We present solutions and report on experiments with real cars on a test course.
dc.event5th ACM Conference on Information-Centric Networking (ICN'18)
dc.event.end2018-09-23
dc.event.start2018-09-21
dc.identifier.doihttps://doi.org/10.1145/3267955.3269015
dc.identifier.isbn978-1-4503-5959-7
dc.identifier.urihttps://irf.fhnw.ch/handle/11654/43360
dc.language.isoen
dc.publisherACM
dc.relation.ispartofICN'18 - Proceedings of the 5th ACM Conference on Information-Centric Networking
dc.spatialNew York
dc.subject.ddc330 - Wirtschaft
dc.titleA network stack for computation-centric vehicular networking
dc.type04B - Beitrag Konferenzschrift
dspace.entity.typePublication
fhnw.InventedHereNo
fhnw.ReviewTypeAnonymous ex ante peer review of a complete publication
fhnw.affiliation.hochschuleHochschule für Wirtschaft FHNWde_CH
fhnw.affiliation.institutInstitut für Wirtschaftsinformatikde_CH
fhnw.openAccessCategoryClosed
fhnw.pagination208-209
fhnw.publicationStatePublished
relation.isAuthorOfPublication5e1bc8d5-8dbd-443f-a65a-71562709d7a7
relation.isAuthorOfPublication.latestForDiscovery5e1bc8d5-8dbd-443f-a65a-71562709d7a7
Dateien

Lizenzbündel

Gerade angezeigt 1 - 1 von 1
Kein Vorschaubild vorhanden
Name:
license.txt
Größe:
1.36 KB
Format:
Item-specific license agreed upon to submission
Beschreibung: