Joint sensing based adaptive resource allocation for VANET networks

In this paper, a new approach of resource allocation for vehicular ad-hoc network (VANET) is proposed. The traffic model based adaptive allocation method is analyzed under different traffic flow conditions and with Markov modeling, the overall average capacity and the failure probability are derived. This method, chiefly characterized by its joint sensing and prediction of road status in neighboring cells, is proved to be able to outperform the normal uniform allocation, especially in free flow case, by simulation results.