Poster: Greedy data dissemination algorithm for infrastructure-to-vehicle services

This paper considers a data dissemination problem for vehicular cloud systems, in which delivery services from a data center provide data to vehicles through roadside wireless access points having local data storages. We propose a greedy data prefetching algorithm; by exploiting the completely predictable route information and the stochastic characteristics of the communication with APs, the algorithm predetermines how to distribute a set of data from a data center to local data storages, and minimizes the amount of data dissemination. The results from extensive simulations show that the proposed scheme can achieve efficient data dissemination in a variety of vehicular scenarios while minimizing the data transfer.