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@PROCEEDINGS{,
     author = {Rizzo, Gianluca},
      month = mar,
      title = {Content and Context Aware Strategies for QoS Support in VANETs},
    journal = {2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA)},
       year = {2016},
  publisher = {IEEE},
        url = {http://ieeexplore.ieee.org/document/7474160/},
        doi = {10.1109/AINA.2016.85},
   abstract = {The increasing interest in autonomous coordinated
driving and in proactive safety services, exploiting the wealth of
sensing and computing resources which are gradually permeating
the urban and vehicular environments, is making provisioning
of high levels of QoS in vehicular networks an urgent issue.
At the same time, the spreading model of a smart car, with a
wealth of infotainment applications, calls for architectures for
vehicular communications capable of supporting traffic with a
diverse set of performance requirements. So far efforts focused
on enabling a single specific QoS level. But the issues of how
to support traffic with tight QoS requirements (no packet loss,
and delays inferior to 1ms), and of designing a system capable
at the same time of efficiently sustaining such traffic together
with traffic from infotainment applications, are still open. In
this paper we present the approach taken by the CONTACT
project to tackle these issues. The goal of the project is to
investigate how a VANET architecture, which integrates contentcentric
networking, software-defined networking, and context
aware floating content schemes, can properly support the very
diverse set of applications and services currently envisioned for
the vehicular environment.}
}