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This study introduces an improved blockchain cross-chain consensus algorithm using weighted PBFT. The new method enhances fault tolerance, reduces latency, and increases throughput for secure and efficient blockchain networks.

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Area of Science:

  • Computer Science
  • Distributed Systems
  • Blockchain Technology

Background:

  • Traditional blockchain consensus algorithms suffer from low fault tolerance, high latency, and low throughput.
  • Cross-chain communication presents significant challenges in decentralized systems.

Purpose of the Study:

  • To propose an improved blockchain cross-chain consensus algorithm based on weighted PBFT.
  • To enhance the performance and security of blockchain cross-chain interactions.

Main Methods:

  • A blockchain cross-chain exchange model based on cluster centers was constructed.
  • Nodes were categorized into consensus service, cross-chain exchange, and application nodes.
  • A weighted PBFT consensus mechanism was implemented for the blockchain consensus environment.

Main Results:

  • The proposed algorithm effectively reduces throughput and delay, optimizing consensus.
  • Experimental results demonstrate high throughput, low latency, and strong security.
  • The method shows low resource consumption and enhanced security compared to traditional approaches.

Conclusions:

  • The improved weighted PBFT algorithm offers a secure and efficient solution for blockchain cross-chain consensus.
  • This method addresses the limitations of traditional approaches, providing a robust consensus mechanism.