Blockchain-Based Collaborative Decision-Making in Vehicular Networks

Collaborative decision-making (CDM) in vehicular networks can greatly improve the driving efficiency of vehicles. However, vehicle clusters often have serious security threats. To solve this issue, we propose a blockchain-based collaborative decision-making (BCDM) model, which is divided into two parts: the architecture level and the algorithm level. At the architectural level, we employ blockchain into vehicular networks and propose a layered blockchain network architecture (LBNA) that not only eases the data calculation and storage pressure of vehicular networks, but also further guarantees the security of the system. At the algorithm level, a BCDM algorithm combining direct trust and indirect trust is provided to determine the occurrence of traffic events and identify false messages. Simulation results reveal that the proposed system is effective and feasible in processing and storing trust information in vehicular networks.