Consortium Blockchain-Based Security and Efficient Resource Trading in V2V-Assisted Intelligent Transport Systems
Peng Liu, Weipeng Jing, Xinyu Fu, Yang Xiao, Lili Jia
Abstract
As an effective method to increase the computing capability of vehicles, vehicle-to-vehicle (V2V) assisted vehicular edge computing (VEC) has great potential to reduce infrastructure spending and better adapt to mobility. However, its feasibility depends heavily on the sharing willingness, how to incentive selfish vehicles in such decentralized architecture is a vital problem. In this paper, we jointly consider the pricing strategy and the users’ concerns about security and privacy to incentive more participants. We first construct a P2P resource trading system based on consortium blockchain to build trust between strange vehicles and guarantee transaction security and user privacy without an authority center. To overcome the resource constraint on blockchain deployment and enhance the scalability of blockchain, the proposed system is built on edge-terminal architecture and improves the consistency algorithm. In addition, the V2V trading process is formalized as a two-stage Stackelberg game model to maximize the utility of both requesters and providers. The optimal pricing and trading volume strategy are derived from efficient optimization algorithms. Finally, we conduct a security analysis to show the performance of the trading process in terms of security and privacy. Numerical simulations show the effectiveness of the proposed strategy to motivate more participants.