Towards efficient resource provisioning in vehicular networks

The growing technological advancements in the fields of computation and communication technologies has enabled a communication network of vehicles, interacting among themselves to facilitate safe and efficient traffic in urban environments, termed as Vehicular Ad Hoc Network (VANET). VANETs depend on computational units called Road Side Units (RSUs), deployed along the highway to enable connectivity to moving vehicles in the network. Developing mechanisms for efficient resource provisioning of RSUs are of significant importance for energy efficiency in Vehicular networks. Towards this goal, we develop a model to dynamically resize computational resources of RSUs based on vehicle density. The proposed model utilizes queuing theory to determine the optimum number of computational units required to handle data exchanges depending on the vehicle density. Preliminary results in MATLAB/Simulink environment show feasibility and effectiveness of the proposed solution for achieving energy efficient operation in VANETs.