A congestion awareness routing strategy for scale-free networks with tunable clustering

By incorporating local traffic information into the basic shortest path routing policy, we propose a congestion awareness routing strategy with a tunable parameter. We investigate the effectiveness of the proposed routing strategy for scale-free networks with different clustering coefficients and in different congestion phases. We find that there exists an optimal value for the tunable parameter in the congestion awareness strategy. Though the optimal value increases slowly as the traffic in the network becomes heavier, it is almost independent of the clustering property of the scale-free network. Furthermore, the performance upgradation of the new routing strategy compared with the basic shortest path routing policy becomes more significant as the network becomes more clustered.