First Score Auction for Pricing-Based Resource Selection in Vehicular Cloud

Selecting vehicles to supply resources is a crucial research problem in the vehicular cloud and highly depends on the pricing of the resources. Subsequently, resource pricing is an intricate problem influenced by the market demand and quality of service provided. Widespread and autonomous vehicular network requires reputation as a medium for trusting the supplier vehicles. Taking into account the above factors, we design the utility of supplier and consumer vehicles. Subsequently, a 1st score auction mechanism is proposed and modeled for the consumer vehicles to obtain maximum utility. Additionally, the protocol enables the supplier vehicles to decide the optimal pricing of resources. The 1^st auction protocol is then simulated and the experimental results indicate better performance of our protocol than other standard protocols.