Context-aware information dissemination in vehicular networks

The design and the operation of efficient content distribution systems for vehicular networks requires an understanding of the context in which these systems operate. The systems have to collect context information, such as location, distances, interest profiles, and aggregate traffic flows, and have to adapt their operation dynamically to changing context information. This paper gives an overview of our recent efforts on two aspects of context-aware vehicular networks. First, the modeling and prediction of macroscopic context information, that is, vehicular traffic flow. Second, the use of the traffic flow as context information to deploy communication infrastructure in support of vehicular content distribution.