Non-cooperative Resource Allocation Scheme for Data Access in VANET Cloud Environment

Data dissemination, especially large amount of data transmission, has become one of the main tasks for the selfish vehicle nodes in Vehicular Ad hoc Networks (VANETs). Exploiting the Road Side Unites (RSUs), which construct the Cloud Computing environment, provides more data access opportunities and stable communication time for the vehicles. However, due to the high mobility of the vehicles and the frequent changes in the network topology, the flow rate of the vehicles for multimedia data access may fluctuate, leading to the high transmission latency. In this paper, the cloud resource allocation for data access is investigated with the non-cooperative cloud resource allocation game based on Gauss-Seidel iteration method. Specifically, an on-demand precision control strategy is proposed to achieve the iteration precision of the flow control. The analysis based on these models lays a theoretical method foundation on the noncooperative game computing process. Furthermore, two common methods for calculating the Nash Equilibrium Point (NEP) of the cloud resource allocation game are compared based on the analytical results. The validity of the modeling and the accuracy of the analysis are verified through the extensive simulations, which also guide the design of more sophisticated cloud resource allocation schemes.