Enhancing Fairness in Autonomous Vehicles: Proof of Confidence with Blockchain Technology

Abstract

This paper introduces a novel framework for data management in network systems that emphasizes fairness and transparency by integrating Proof of Confidence (PoC) consensus method into blockchain-based autonomous driving systems. Unlike existing mechanisms, such as Proof of Work and Proof of Stake, PoC is designed to improve transaction efficiency while maintaining strong data integrity and supporting fair decision-making processes in dynamic driving environments. This framework enhances the management of autonomous driving systems by selecting a Lead-Node based on fairness-centered criteria and efficiently processing large data streams essential for autonomous driving. It is expected that this will be further optimized by utilizing distributed and edge computing technologies. The workflow for performing this algorithm is presented in a four-step design, which is a proposal that surpasses existing methods by adopting a process in which PoC selects a Lead-Node among nodes in the area and reaches an agreement by priority in managing a large transaction volume. The temporal efficiency of PoC is tested by comparing the consensus time with several consensus algorithms, and it could contribute as a promising alternative technology to improve the efficiency and stability of autonomous driving systems.