An efficient destination-based data management policy for vehicular networks

The Vehicular Ad hoc Network (VANET) takes the advantage of the relative mobility of the vehicles to opportunistically share dynamic information when they meet, aiming to avoid accidents and traffic jams, get local information of the nearby places, enjoy entertainment applications among others. However, the shared information must be handled properly, saving bandwidth and tackling the unnecessary duplication of data, preventing the scalability problem and congestion. The current solutions of these problems incorporate the concept of Relevance to share the information in a clever way but they do not exploit the advantage of knowing the destination of the vehicles and context-aware services to follow behavior patterns. Therefore, we propose an efficient destination-based data management policy, which follows the vehicular behavior and context to determine the relevance or importance of the information using a publisher/subscriber model and cluster-based dissemination. In order to demonstrate the feasibility of the proposal we implemented sets of simulation in which the results reported an outstanding performance in terms of congestion and delivery ratio.