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Technology of Blockchain
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 10
2911-2917

Improvement of Raft consensus algorithm based on alliance chain microgrid trading

Zhang Mingquan
Cao Xinyu
School of Control & Computer Engineering, North China Electric Power University, Baoding Hebei 071003, China
DOI: 10.19734/j.issn.1001-3695.2024.01.0010

Abstract

To address the high throughput and resistance to Byzantine node attacks in the microgrid trading scenario of consortium chains, this paper proposed a multi-leader Byzantine fault tolerance consensus algorithm based on Raft, named MLB-Raft. The algorithm first utilized the VRF to select a group of leader nodes, increasing throughput by allowing multiple leaders to submit blocks in parallel. A coordinator role was then introduced, responsible for the election and management of leaders and system consensus. During the block replication process between leaders and followers, the consensus process of the practical Byzantine fault tolerance(PBFT) algorithm was integrated and simplified to achieve the Byzantine resilience of this algorithm. Experimental results show that, under a large-scale network node environment, compared to the Raft algorithm, this algorithm improves throughput and consensus efficiency at the cost of some communication overhead. Compared to the PBFT algorithm, this algorithm enhances Byzantine fault tolerance and reduces communication overhead. In summary, this algorithm can effectively ensure the timeliness and security of alliance chain microgrid transactions.

Foundation Support

中央高校基本科研业务费专项资金资助项目(2020MS122)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.01.0010
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 10
Section: Technology of Blockchain
Pages: 2911-2917
Serial Number: 1001-3695(2024)10-005-2911-07

Publish History

[2024-03-29] Accepted Paper
[2024-10-05] Printed Article

Cite This Article

张铭泉, 曹新宇. 基于联盟链微电网交易的改进Raft共识算法 [J]. 计算机应用研究, 2024, 41 (10): 2911-2917. (Zhang Mingquan, Cao Xinyu. Improvement of Raft consensus algorithm based on alliance chain microgrid trading [J]. Application Research of Computers, 2024, 41 (10): 2911-2917. )

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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