星型-网状混合传感器网络最快分布式共识
Fastest Distributed Consensus on Star-Mesh Hybrid Sensor Networks
摘要：
在不同拓扑结构的传感器网络上求解最快分布式共识（FDC）平均问题近年来受到了人们的关注，其中一种著名的拓扑结构是星型-网状混合拓扑结构。本文针对具有丰富对称性质的K-部核星-网混合网络（SMHK），利用分层和半定规划方法给出了FDC算法的解析解。数值研究了SMHK网络的渐近收敛速度和每步收敛速度随网络拓扑参数的变化。
英文摘要：
Solving Fastest Distributed Consensus (FDC) averaging problem over sensor networks with different topologies has received some attention recently and one of the well known topologies in this issue is star-mesh hybrid topology. Here in this work we present analytical solution for the problem of FDC algorithm by means of stratification and semidefinite programming, for the Star-Mesh Hybrid network with K-partite core (SMHK) which has rich symmetric properties. Also the variations of asymptotic and per step convergence rate of SMHK network versus its topological parameters have been studied numerically.
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