Journal of Optoelectronics · Laser, Volume. 35, Issue 2, 207(2024)

PBFT optimization consensus mechanism based on agglomerative hierarchical clustering

QIN Ruiqing1, LI Zhengquan1,2、*, XING Song3, and TAN Lirong4
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • 4[in Chinese]
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    In the face of a large number of consensus nodes in the food alliance blockchain network,due to the low efficiency of the traditional practical Byzantine fault tolerance (PBFT) consensus algorithm,communication energy consumption is too high,which greatly increases the risk of information leakage and data fraud.To solve the above problems,this paper proposes a PBFT optimization consensus algorithm based on agglomerative hierarchical clustering (AHC).Firstly,the AHC algorithm is used to classify and cluster all the consensus nodes. Secondly,PBFT consensus occurs in all clusters in parallel.Finally, the message agreement is reached through the consensus of the master nodes in the cluster.The experimental results show that the improved algorithm can effectively reduce the energy cost and improve consensus efficiency and throughput.

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    QIN Ruiqing, LI Zhengquan, XING Song, TAN Lirong. PBFT optimization consensus mechanism based on agglomerative hierarchical clustering[J]. Journal of Optoelectronics · Laser, 2024, 35(2): 207

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    Paper Information

    Received: Sep. 6, 2022

    Accepted: --

    Published Online: Sep. 25, 2024

    The Author Email: LI Zhengquan (lzq722@jiangnan.edu.cn)

    DOI:10.16136/j.joel.2024.02.0624

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