Policy based architecture for vehicular cloud

Internet of Things is plays a vital role in changing various existing research areas into new themes, including smart health, smart home, smart industry, and smart transport. Relying on the basis of “smart transport, ” Internet of Vehicles (IoV) is emerging technology have seen steep improvement in research and development from vehicular ad hoc networks (VANETs). Vehicular networking and mobile cloud computing are integrated to enhance the quality of vehicular information services for the betterment of flexibility and to improve efficiency. The fundamental problem of what information is delivered with which vehicle(s), however, has not been adequately studied. we propose a framework to manage on-demand service provision in a vehicular cloud and a framework for service provision in a vehicular cloud for various types of users, determine driver preferences. We develop and evaluate simulations of the proposed approaches under different network scenarios with respect to privacy, service cost, and latency, by varying the vehicle density and driver preferences. Based on the closeness between vehicles, only relevant information will be delivered to vehicles that are likely interested in it.