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Research on Progress of Blockchain Consensus Algorithm: A Review on Recent Progress of Blockchain Consensus Algorithms

Author

Listed:
  • Huanliang Xiong

    (Software College, Jiangxi Agriculture University, Nanchang 330045, China)

  • Muxi Chen

    (Software College, Jiangxi Agriculture University, Nanchang 330045, China)

  • Canghai Wu

    (Software College, Jiangxi Agriculture University, Nanchang 330045, China)

  • Yingding Zhao

    (Software College, Jiangxi Agriculture University, Nanchang 330045, China)

  • Wenlong Yi

    (Software College, Jiangxi Agriculture University, Nanchang 330045, China)

Abstract

Blockchain technology can solve the problem of trust in the open network in a decentralized way. It has broad application prospects and has attracted extensive attention from academia and industry. The blockchain consensus algorithm ensures that the nodes in the chain reach consensus in the complex network environment, and the node status ultimately remains the same. The consensus algorithm is one of the core technologies of blockchain and plays a pivotal role in the research of blockchain technology. This article gives the basic concepts of the blockchain, summarizes the key technologies of the blockchain, especially focuses on the research of the blockchain consensus algorithm, expounds the general principles of the consensus process, and classifies the mainstream consensus algorithms. Then, focusing on the improvement of consensus algorithm performance, it reviews the research progress of consensus algorithms in detail, analyzes and compares the characteristics, suitable scenarios, and possible shortcomings of different consensus algorithms, and based on this, studies the future development trend of consensus algorithms for reference.

Suggested Citation

  • Huanliang Xiong & Muxi Chen & Canghai Wu & Yingding Zhao & Wenlong Yi, 2022. "Research on Progress of Blockchain Consensus Algorithm: A Review on Recent Progress of Blockchain Consensus Algorithms," Future Internet, MDPI, vol. 14(2), pages 1-24, January.
    • Handle: RePEc:gam:jftint:v:14:y:2022:i:2:p:47-:d:738665
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    Citations

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    Cited by:

    1. Fabio Caldarola & Gianfranco d’Atri & Enrico Zanardo, 2022. "Neural Fairness Blockchain Protocol Using an Elliptic Curves Lottery," Mathematics, MDPI, vol. 10(17), pages 1-20, August.
    2. Valerio Mandarino & Giuseppe Pappalardo & Emiliano Tramontana, 2023. "Proof of Flow: A Design Pattern for the Green Energy Market," Future Internet, MDPI, vol. 15(9), pages 1-23, September.
    3. Ji Tan & S. B. Goyal & Anand Singh Rajawat & Tony Jan & Neda Azizi & Mukesh Prasad, 2023. "Anti-Counterfeiting and Traceability Consensus Algorithm Based on Weightage to Contributors in a Food Supply Chain of Industry 4.0," Sustainability, MDPI, vol. 15(10), pages 1-19, May.
    4. Gousia Habib & Sparsh Sharma & Sara Ibrahim & Imtiaz Ahmad & Shaima Qureshi & Malik Ishfaq, 2022. "Blockchain Technology: Benefits, Challenges, Applications, and Integration of Blockchain Technology with Cloud Computing," Future Internet, MDPI, vol. 14(11), pages 1-22, November.
    5. Rameez Asif & Syed Raheel Hassan & Gerard Parr, 2023. "Integrating a Blockchain-Based Governance Framework for Responsible AI," Future Internet, MDPI, vol. 15(3), pages 1-21, February.

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