Group consensus algorithm based on node dynamic scoring mechanism

Shen Xueli
Li Xinru
School of Software, Liaoning Technical University, Huludao Liaoning 125105, China

Abstract

In response to the issues of high communication overhead random primary node selection and the absence of incentive mechanisms in the three-stage process of PBFT consensus algorithm, as well as problems with, this paper introduced a new grouped consensus algorithm named DS-PBFT. Firstly, this paper optimized the consensus protocol simplified of the three-phase communication process, thereby enhancing consensus efficiency. Secondly, this paper proposed a node scoring and grouping mechanism, where nodes received scores based on their historical behavior during the consensus process and fell into consensus and candidate groups, reducing the likelihood of malicious node participation. Lastly, this paper introduced a dynamic process for selecting nodes to participate in consensus, optimized view-change protocols and garbage collection mechanisms to fundamentally reduce the number of participating nodes, resulting in enhanced consensus efficiency. Using Docker containers to simulate multiple nodes, the experimental results show that in a consortium blockchain with network stability and a significant number of trusted nodes, the proposed DS-PBFT consensus algorithm outperforms the PBFT consensus algorithm and other improved algorithms in terms of consensus latency, throughput, fault tolerance, and communication complexity. It can quickly achieve consensus and improve consensus efficiency.

Foundation Support

国家自然科学基金面上项目(62173171)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.07.0348
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 4
Section: Technology of Blockchain
Pages: 989-994
Serial Number: 1001-3695(2024)04-004-0989-06

Publish History

[2023-11-01] Accepted Paper
[2024-04-05] Printed Article

Cite This Article

沈学利, 李欣儒. 基于节点动态评分机制的分组共识算法 [J]. 计算机应用研究, 2024, 41 (4): 989-994. (Shen Xueli, Li Xinru. Group consensus algorithm based on node dynamic scoring mechanism [J]. Application Research of Computers, 2024, 41 (4): 989-994. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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