Abstract: In the large-scale asynchronous communication network,the real-timely computing of system-level average parameters is of great significance for guiding the systems to make control decisions,such as resource selection and load balancing．This paper concentrated on the problem of averaging consensus in the asynchronous network environment and proposed a flow-based asynchronous averaging consensus protocol FBAA．The FBAA protocol is applicable for the dynamic asynchronous communication network system,and doesn’t require global coordination in its whole running process．The simulation results presented in this paper show that our protocol can converge to the average value more quickly and the convergence time is independent from the scale of network.Furthermore we derived the relationship between the convergence time and some other parameters through analyzing the experimental data,and the settings of parameters when the system achieves to optimal convergence time.

Key words: Asynchronous computing,Averaging consensus,Flow,Convergence time