An Efficient Cross-layer Approach for Throughput-Maximal and Delay-Minimal Green Vehicular Networks

Cross-layer has been proved as one of the most efficient solutions for mobile multimedia communications. Hence, a friendly green communication environment could be possibly designed by mitigating road congestion, emissions, reducing car accidents and manipulating cross-layer parameters targeting optimal throughput and minimal delay performances. While the major bottleneck of such approach is that many existing cross-layer infrastructures are lack of rigorous theoretical models and in-depth study of multiple layers tradeoffs, and those limited heuristic efforts are normally unable to provide stable and sound global optimization performances. To fill this gap, in this paper, we attempt to develop a novel methodological foundation for IEEE.802.11p protocol and Dedicated Short Range Communication (DSRC) based vehicular communication networks. First, we introduce a nonlinear high-dimensional cross-layer optimization modeling for real-time on-road multimedia services. Then, we present new throughput-maximal framework and delay-minimal framework in drastically varying fading channel environments with high velocities of moving nodes. Finally, we apply a modified Choquet fuzzy measure method to efficiently achieve optimal transmission throughput through integrated cross-layer control. Simulation results show the proposed scheme is able to support the challenging high-speed real-time vehicular multimedia transmission services.