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ATBFT-automatically switch consensus protocol

Lookup NU author(s): Chang Liu

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© 2024 The Author(s)The current blockchain requires higher stability and efficiency. However, leaderBFT consensus and leaderlessBFT consensus have three problems: dominant replica failure, transaction interruption, and high communication overhead and latency. And regardless of leaderBFT consensus or leaderlessBFT consensus, there isn't a very good solution. It's urgent to leverage the advantages of both consensus types to enhance blockchain performance. To solve the problems, this paper proposes the ATBFT consensus protocol. ATBFT elects the dominant replica through reputation value to ensure higher reliability. In addition, ATBFT has an automatic switching mechanism between leaderBFT consensus and leaderlessBFT consensus. The protocol can automatically elect the consensus type according to the current network conditions, effectively utilizing the idle time of the view change to generate more blocks. Furthermore, it can guarantee the execution of the entire consensus process to ensure that the tx2-transactions are uninterrupted. Finally, ATBFT decomposes the blocks: the consensus is performed only through the block header, and the commitment and execution phase of a tx is performed through a linearly propagated block body. According to experimental evaluation, ATBFT has higher usability and practicality.


Publication metadata

Author(s): Lu Y, Liu C, Kong L, Niu X

Publication type: Article

Publication status: Published

Journal: Blockchain: Research and Applications

Year: 2025

Volume: 6

Issue: 1

Print publication date: 01/03/2025

Online publication date: 02/01/2025

Acceptance date: 25/12/2024

Date deposited: 08/04/2025

ISSN (print): 2096-7209

ISSN (electronic): 2666-9536

Publisher: Zhejiang University

URL: https://doi.org/10.1016/j.bcra.2024.100255

DOI: 10.1016/j.bcra.2024.100255


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Funding

Funder referenceFunder name
e National Key Research and Development Program of China (2021YFB2700100) and the Major Science and Technology Innovation of Shandong Province (2021CXGC010108).

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