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Hybrid Consensus Algorithm Optimization: A Mathematical Method Based on POS and PBFT and Its Application in Blockchain

Author

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  • Yaqin Wu
  • Pengxin Song
  • Fuxin Wang

Abstract

Blockchain is a new technology for processing complex and disordered information with respect to business and other industrial applications. This work is aimed at studying the consensus algorithm of blockchain to improve the performance of blockchain. Despite their advantages, the proof of stake (POS) algorithm and the practical Byzantine fault tolerance (PBFT) algorithm have high latency, low throughput, and poor scalability. In this paper, a blockchain hybrid consensus algorithm which combines advantages of the POS and PBFT algorithms is proposed, and the algorithm is divided into two stages: sortition and witness. The proposed algorithm reduces the number of consensus nodes to a constant value by verifiable pseudorandom sortition and performs transaction witness between nodes. The algorithm is improved and optimized from three dimensions: throughput, latency, and scalability. The experimental results show that the improved hybrid consensus algorithm is significantly superior to the previous single algorithms for its excellent scalability, high throughput, and low latency.

Suggested Citation

  • Yaqin Wu & Pengxin Song & Fuxin Wang, 2020. "Hybrid Consensus Algorithm Optimization: A Mathematical Method Based on POS and PBFT and Its Application in Blockchain," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-13, April.
    • Handle: RePEc:hin:jnlmpe:7270624
    DOI: 10.1155/2020/7270624
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    Cited by:

    1. Weichu Deng & Teng Huang & Haiyang Wang, 2022. "A Review of the Key Technology in a Blockchain Building Decentralized Trust Platform," Mathematics, MDPI, vol. 11(1), pages 1-29, December.
    2. Guangjie Lv & Caixia Song & Pengmin Xu & Zhiguo Qi & Heyu Song & Yi Liu, 2023. "Blockchain-Based Traceability for Agricultural Products: A Systematic Literature Review," Agriculture, MDPI, vol. 13(9), pages 1-32, September.

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