A hierarchical byzantine fault tolerance consensus protocol for the Internet of Things  

作　　者：Rongxin Guo Zhenping Guo Zerui Lin Wenxian Jiang 

机构地区：[1]College of Engineering,Huaqiao University,Quanzhou 362000,China [2]College of Computer Science and Technology,Huaqiao University,Xiamen 361021,China

出　　处：《High-Confidence Computing》2024年第3期13-24,共12页高置信计算（英文）

基　　金：supported by the Science and Technology Plan Project of Quanzhou City,Fujian Province of China(2022C020R);the Science and Technology Plan Project of Fujian Province of China(2023H0012)。

摘　　要：The inefficiency of Consensus protocols is a significant impediment to blockchain and IoT convergence development.To solve the problems like inefficiency and poor dynamics of the Practical Byzantine Fault Tolerance(PBFT)in IoT scenarios,a hierarchical consensus protocol called DCBFT is proposed.Above all,we propose an improved k-sums algorithm to build a two-level consensus cluster,achieving an hierarchical management for IoT devices.Next,A scalable two-level consensus protocol is proposed,which uses a multi-primary node mechanism to solve the single-point-of-failure problem.In addition,a data synchronization process is introduced to ensure the consistency of block data after view changes.Finally,A dynamic reputation evaluation model is introduced to update the nodes’reputation values and complete the rotation of consensus nodes at the end of each consensus round.The experimental results show that DCBFT has a more robust dynamic and higher consensus efficiency.Moreover,After running for some time,the performance of DCBFT shows some improvement.

关 键 词：IoT Hierarchical consensus Clustering Reputation evaluation model Practical byzantine fault TOLERANCE 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]