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SUMMARY:Enabling Connected Cars through Named Data. - Giovanni Pau\, Unive
 rsity Pierre at Marie Curie
DTSTART:20150417T130000Z
DTEND:20150417T140000Z
UID:TALK59053@talks.cam.ac.uk
CONTACT:Microsoft Research Cambridge Talks Admins
DESCRIPTION:Vehicular networks have been investigated by industry and acad
 emia for over a decade yet no actual deployments are on the road today\; t
 his due to inadequate technical solutions and a vertical market that slows
  down innovation.  Recent innovations in autonomous driving\, however\, ar
 e reinforcing the case for connected vehicles able to communicate both V2I
  and V2V in support of cooperative driving and machine-to-machine informat
 ion exchange.  \n\nIn this talk I will introduce V-NDN a network architect
 ure 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 communi
 cations and dynamically exploits multiple sources and multiple paths.  We 
 will take a journey through V-NDN design and show how this radically new a
 pproach is able to address the challenges of frequent connectivity disrupt
 ions and sudden network changes typical of vehicular networks.
LOCATION:Auditorium\, Microsoft Research Ltd\, 21 Station Road\, Cambridge
 \, CB1 2FB
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