基于分组和声誉值投票的PBFT算法改进

IF 0.6 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Shannan Liu, Ronghua Zhang, Changzheng Liu, Chenxi Xu, Jie Zhou, Jiaojiao Wang
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引用次数: 1

摘要

针对联盟链实用拜占庭容错(practical Byzantine fault tolerance, PBFT)共识算法通信复杂度高、可扩展性差、主节点选择随机等问题,提出了一种基于分组和声誉值投票的改进实用拜占庭容错(practical Byzantine fault tolerance consensus algorithm based on reputation, RPBFT)算法。首先,对一致性过程进行优化,以节点对各组长的响应速度作为分组的依据,并进行组内共识。然后,组长接受组内共识的结果,参与组外共识,以减少节点间沟通的频率和时间。其次,提出了信誉模型和投票机制,通过节点信誉值投票产生组长,增强了可信节点的主动性和可靠性,减少了作为组长的异常节点;最后,基于该改进方案搭建了仿真与性能测试系统,通过仿真实验验证了该方案的有效性和可用性。实验结果表明,当网络节点数为36时,RPBFT算法的吞吐量是PBFT算法的6倍。因此,共识延迟减少了91.7%,通信开销减少了37.8%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improvement of the PBFT Algorithm Based on Grouping and Reputation Value Voting
An improved practical Byzantine fault tolerance (Practical Byzantine Fault Tolerant consensus algorithm based on reputation, RPBFT) algorithm based on grouping and reputation value voting is proposed for the problems of high communication complexity, poor scalability, and random selection of master nodes of the practical Byzantine fault tolerance (PBFT) consensus algorithm of the consortium chain. First, the consistency process is optimized to take the response speed of nodes to each group leader as the basis of grouping, and the intragroup consensus is performed. The group leader then takes the result of intragroup consensus and participates in extra-group consensus to reduce the frequency and time of internode communication. Second, the reputation model and voting mechanism are proposed, and the group leader is generated by node reputation value voting, which enhances the initiative and reliability of trusted nodes and reduces the abnormal nodes as group leader. Finally, a simulation and performance testing system based on this improved scheme is built to prove the effectiveness as well as the usability of the scheme through simulation experiments. The experimental results show that when the number of network nodes is 36, the throughput of the RPBFT algorithm is six times that of PBFT. Therefore, the consensus delay is reduced by 91.7%, and the communication overhead is reduced by 37.8%.
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来源期刊
International Journal of Digital Crime and Forensics
International Journal of Digital Crime and Forensics COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
2.70
自引率
0.00%
发文量
15
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