User-satisfaction-based media services over vehicular networks

A challenging problem of providing media services over vehicular networks is how to optimize the media content dissemination and vehicle cache update by intelligently considering opportunistic vehicle meet and different service requirements. In this work, we study this problem in the context of P2P-based vehicular networks, and develop fully dynamic service schemes with the goals of maximizing the total user-satisfaction and achieving certain fairness. We first construct a general user-satisfaction model according to the network's transmission mechanism, as well as different media's delay-satisfaction characteristics. Then, we formulate the media service as an optimization problem, and propose a joint content dissemination and cache update scheme. We also provide the exact steps to achieve the optimal solution at equilibrium given the user-satisfaction function. It is worth noting that the proposed scheme is designed in a distributed manner which is amenable to online implementation for vehicle networks. In addition, we provide extensive simulation results which demonstrate the effectiveness of our proposed schemes.