University of Cambridge > > Microsoft Research Cambridge, public talks > Enabling Connected Cars through Named Data.

Enabling Connected Cars through Named Data.

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Microsoft Research Cambridge Talks Admins.

This event may be recorded and made available internally or externally via Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending

Vehicular networks have been investigated by industry and academia for over a decade yet no actual deployments are on the road today; this due to inadequate technical solutions and a vertical market that slows down innovation. Recent innovations in autonomous driving, however, are reinforcing the case for connected vehicles able to communicate both V2I and V2V in support of cooperative driving and machine-to-machine information exchange.

In this talk I will introduce V-NDN a network architecture that argues for an ICN based vehicular networks. Specifically we argue for substituting IP with Named Data as thin waste for car-to-car and car-to-infrastructure communications. V-NDN naturally enables anycast communications and dynamically exploits multiple sources and multiple paths. We will take a journey through V-NDN design and show how this radically new approach is able to address the challenges of frequent connectivity disruptions and sudden network changes typical of vehicular networks.

This talk is part of the Microsoft Research Cambridge, public talks series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.


© 2006-2024, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity