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Technology of Blockchain
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 11
3236-3242

Improved PBFT algorithm based on network self clustering

Gao Na1,2
Zhou Chuangming1
Yang Chunxiao1
Song Lina3
He Wei4
1. Air Defense & Antimissile, College of Air Force Engineering University, Xi'an 710038, China
2. 93567 Troops, Laishui Hebei 074100, China
3. 78156 Troops, Lanzhou 730020, China
4. Communication Noncommissioned Officer School of Army Engineering University, Chongqing 400035, China
DOI: 10.19734/j.issn.1001-3695.2021.03.0098

Abstract

Consortium chain is the main application form of blockchain technology in the actual industry, and its consensus mechanism mostly adopts the practical Byzantine fault-tolerant algorithm(PBFT). However, if the number of nodes is too large the success rate and efficiency of consensus will lower, and have scalability problems. Therefore, this paper proposed a Byzantine fault-tolerant consensus algorithm NAC-PBFT based on network self clustering. Using the known information of network structure and system node in industry application, the seed node designated in the audit node of consortium chain, and taken as the center and self clustered into several groups. It elected the agents by optimizing the practical Byzantine fault-tolerant algorithm in the group, and the agents in each group completed the global consensus. During the intra group election, the credibility index was defined to measure the node, and it was used as the standard for selecting candidate agents to ensure that the agents selected each time were in good condition. Through the system analysis and performance test, NAC-PBFT algorithm can effectively reduce the amount of information, has better performance in consensus time and system throughput index, and has better scalability.

Foundation Support

国家自然科学基金资助项目

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.03.0098
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 11
Section: Technology of Blockchain
Pages: 3236-3242
Serial Number: 1001-3695(2021)11-005-3236-07

Publish History

[2021-11-05] Printed Article

Cite This Article

高娜, 周创明, 杨春晓, 等. 基于网络自聚类的PBFT算法改进 [J]. 计算机应用研究, 2021, 38 (11): 3236-3242. (Gao Na, Zhou Chuangming, Yang Chunxiao, et al. Improved PBFT algorithm based on network self clustering [J]. Application Research of Computers, 2021, 38 (11): 3236-3242. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

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.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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