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.


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    Title :

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


    Contributors:
    Inshick Kim, (author) / Ryangsoo Kim, (author) / Hyuk Lim, (author) / Kyung-Joon Park, (author)


    Publication date :

    2015-12-01


    Size :

    105675 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English






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