Efficient V2V communications by clustering-based collaborative caching

Vehicle-to-vehicle (V2V) communication is one of the key technologies for autonomous driving. When multiple vehicles request contents like road conditions successively, separate content delivery by V2V communication makes the traffic volume increase rapidly, which may lead to congestion in the wireless channel. Applying the Content-Centric Network (CCN) technology to V2V communication helps improve the communication efficiency, by exploiting contents cached at vehicles. However, in previous methods, it is possible that (i) vehicles cannot use contents stored in nearby vehicles not on the communication path, and (ii) nearby vehicles may store the same contents as caches redundantly. To solve these problems, this paper proposes a collaborative caching method, which divides vehicles into clusters, and the cluster head manages caches of all vehicles in its cluster unitarily. In this way, vehicles can use the contents cached at adjacent vehicles not on the communication path, and the redundancy of duplicate cache can be avoid to store more diverse contents. The simulation results confirm that the proposed method helps to reduce the packet latency and improve the success rate of fetching requested contents.