Enabling Connected Cars through Named Data.

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.

Speaker Details

Giovanni Pau is the ATOS/Renault smart mobility Chair Professor at the University Pierre at Marie Curie, Paris France. He holds the Italian Laura in Computer Science and the PhD in Computer Engineering awarded by the University of Bologna in 1998 and 2002 respectively. Before Joining UPMC Dr. Pau was a Senior Research Scientist at the UCLA Computer Science Department where he still retains the position of Adjunct Professor.

Dr. Pau core research interests are in Network Systems with focus on Vehicular Networks and pervasive mobile sensor systems. He designed and built the UCLA campus vehicular testbed and the UCLA/MPI urban sensing testbed designed to enable hands-on studies on vehicular communications and urban sensing. His research contributions lead to the VERGILIUS and CORNER simulation suites designed to support mobility and propagation modeling in urban environments. More recently, Dr. Pau designed and developed VNDN the Named Data Network (NDN) protocol stack specifically adapted to work on mobile-to-mobile scenarios.

Date:
Speakers:
Giovanni Pau
Affiliation:
University Pierre at Marie Curie
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