Improved Method of Blockchain Cross-Chain Consensus Algorithm Based on Weighted PBFT

【Author】 Lei, Liu; Song, Liangtu; Wan, Jiahua

【Source】COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE

【影响因子】3.120

【Abstract】Aiming to solve the problems of low fault tolerance, low throughput, and high delay in traditional methods, an improved method of the blockchain cross-chain consensus algorithm based on weighted PBFT is proposed. This article constructs a blockchain cross-chain exchange model based on cluster centers and divides the nodes in the blockchain system into consensus service nodes, cross-chain exchange nodes, and application nodes to improve the performance of consensus computing services. On this basis, according to the weighted PBFT consensus mechanism, the blockchain consensus environment is set up, and the distribution of nodes in the consensus domain and the blockchain signature scheme are obtained. Therefore, the blockchain cross-chain consensus optimization algorithm is designed to reduce throughput and delay and optimize the consensus effect. The experimental results show that the proposed method can effectively improve the shortcomings of traditional methods, with high throughput and low latency, and strong security. It shows that it is a low resource consumption and secure consensus method.

【Keywords】

【发表时间】2022 AUG 25

【收录时间】2022-10-05

【文献类型】理论模型

【主题类别】

区块链技术-核心技术-共识机制