Design and evaluation of a collaborative system for content diffusion and retrieval in vehicular networks

The availability of infotainment contents to be accessed while driving constitutes an added value to both drivers and passengers, improving their travel experience. These contents can be already on-board, diffused through broadcast networks (e.g., FM radio) or delivered on demand by servers as data streams. Vehicular ad-hoc networks (VANET) allow envisaging a new way to access contents based on epidemic data dissemination, tearing down the costs for both the user and the content publisher, and increasing system scalability. In this paper, we present the design and the evaluation of a collaborative system for content diffusion and retrieval among traveling vehicles. This system relies on multicast epidemic dissemination of messages and exploits vehicles mobility and their local storage capabilities. In order to assess its performance, several simulations have been carried out, using real-world maps and realistic mobility models, and varying intrinsic system parameters. Experimental results suggest that the system is feasible, produces reliable results, almost independent of the mobility scenario, and can be used as a peer-to-peer download accelerator for improving client-server access.