Research on Key Technologies of Logistics Information Traceability Model Based on Consortium Chain

• Main Authors: Xiaofang Li, Furu Lv, Feng Xiang, Zhe Sun, Zhixin Sun
• Format: Article
• Language: English
• Published: IEEE 2020-01-01
• Series: IEEE Access
• Subjects: Consortium chain; logistics information; traceability model; MCPBFT consensus algorithm; information matching mechanism
• Online Access: https://ieeexplore.ieee.org/document/9058696/

In order to trace the logistics information and make use of the characteristics of the Consortium Blockchain, a logistics information traceability model based on the Consortium chain is proposed. The research focuses on two key technologies in the model, namely Multi-center Practical Byzantine Fault Tolerance (MCPBFT) consensus algorithm and Information Matching mechanism. In MCPBFT algorithm, many nodes involved in logistics information are divided into multiple consensus sets, and the consistency protocol is improved into two phases based on PBFT algorithm. In the information matching mechanism, the authenticity of the recorded on-chain information is ensured by matching the updated logistics information with the information stored on the chain in advance. By analyzing the two key technologies, the feasibility and superiority of these two technologies are explained. Among them, MCPBFT algorithm can effectively improve the efficiency of consensus and ensure that the logistics information can be updated in time; the information matching mechanism can be safely applied to the traceability model and improve the practicability of the traceability model.