Abstract:
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 wir...Show MoreMetadata
Abstract:
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.
Published in: 2015 IEEE Vehicular Networking Conference (VNC)
Date of Conference: 16-18 December 2015
Date Added to IEEE Xplore: 21 January 2016
ISBN Information:
Electronic ISSN: 2157-9865