Reputation Consensus-Based Scheme for Information Sharing in Internet of Vehicles

Low latency and low energy consumption are prerequisites for Internet of Vehicles (IoV) research; nevertheless, consensus mechanisms of legacy blockchain applied to IoV typically incur high delay and serious energy consumption due to the computational puzzle. In this paper, Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is used to implement a novel reputation consensus mechanism for IoV based on vehicle reputation values and traffic environment, which can not only reduce the computational pressure but also ensure the fairness of consensus. Firstly, the information transmission vehicles (ITVs) would be picked following the reputation value and its associated environmental data that makes the choice more comprehensive and objective than other mechanisms. Secondly, the authenticity of sharing information is determined with the help of Bayesian inference, aided by the reputation value of message reporting vehicles (MRVs). Finally, simulation results show that the proposed scheme can improve consensus efficiency by picking ITVs in a short time and avoid the spreading of false information effectively in the IoV system.