Optimal data placement to improve data dissemination in vehicular networks

Because of road accidents vehicular networks were originally designed to enhance road safety, and have much evolved in these recent years towards being driven by exchanging and accessing multimedia information. Indeed, Such applications are very greedy in terms of transmitted traffic and used bandwidth and then meet some limits in vehiculars envirements. In this work we address the problem of optimal placement of coded data in a subset of road side units (RSU) in order to enhance data dissemination and make the data available in all the network. We propose in this paper a data placement model that minimizes the maximum delevry time between each vehicle and the RSUs that store the coded data. We closely model the urban vehicular environment and formulate the data placement problem as a linear optimization model which can be solved by numerous existing optimization suites such as CPLEX and YALMIP, and compared our results to two other methods. Our experiments show that optimally placing coded data in the network greatly improves the network performances.