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- Title
基于动态信任的区块链激励共识机制研究.
- Authors
周 健; 张 杰; 闫 石; 屈 冉
- Abstract
Aiming at the problem that the master node in the practical Byzantine fault tolerance(PBFT) consensus mechanism may go wrong and cause a large amount of waste of communication resources, this paper proposed a consensus mechanism optimization scheme based on trust dynamic incentives, ITPBFT(incentive trust-PBFT). It evaluated the consensus behavior of nodes, added a dynamic incentive mechanism, introduced a node level mechanism, and selected a node with a high degree of trust as the master node. The simulation experiment and analysis of the optimization scheme verify that the mechanism can effectively improve the fault tolerance of the consensus mechanism, reduce the consensus time, increase the throughput of the system, and improve the stability and recoverability during network fluctuations. This consensus mechanism can effectively improve the efficiency of consensus and avoid waste of communication resources.
- Subjects
MASTER trusts; INCENTIVE (Psychology); MASTER'S degree; BLOCKCHAINS
- Publication
Application Research of Computers / Jisuanji Yingyong Yanjiu, 2021, Vol 38, Issue 11, p3231
- ISSN
1001-3695
- Publication type
Article
- DOI
10.19734/j.issn.1001-3695.2021.03.0099