基于有向小世界网络的加速分布式一致性收敛速度研究
Research on Accelerating Convergence Speed of Distributed Consensus Based on Directed Small World Networks
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摘要: 在有向平衡规则网络基础上,采用随机添加捷径的方法建立两个有向小世界网络模型,并使有向小世界网络为平衡网络. 通过仿真分析,基于有向小世界网络的分布式一致性算法的收敛速度得到了极大的提高.Abstract: Two directed small world networks are built by randomly adding shortcuts based on the balanced and directed regular networks. In the meanwhile, the directed small world networks are made to be the balanced networks. The simulation analysis results indicate that convergence speeds of the distributed consensus algorithm based on directed small world networks increase dramatically.