Narrow Results

The network topology structure has great impact on its traffic capacity. Most of the biological and technological networks have been proved to exhibit scale-free feature. In real networks, the hub links, which usually bear large traffic loads, have restricted transport efficiency of the complex networks. In this paper, we focus on the bandwidth congestion and propose a rewiring link strategy to optimize traffic dynamics on scale-free networks. Two link rewiring strategies are compared and the simulation results on scale-free networks show that our strategy has more advantages, which makes the degree distribution of the network more uniform, reducing the average path length of different nodes, balancing the resources of the network and increasing the traffic capacity of the network. This work will be beneficial for designing network topology and optimizing network performances.

The network structure acquires great influence on the traffic capacity for complex network. Since the nodes with high degree usually bear large load in the process of packet transmission, we propose a new multilayer network model which can balance the load of low-speed and high-speed layers. The simulation results show that compared with the randomly select nodes multilayer network model, the new network model makes the multilayer network load more balanced, thereby enhancing traffic capacity of the network and reducing the possibility of congestion. This network model gives full play to the transmission advantages of the high-speed layer of the multilayer network, and can reduce the consumption of resources while achieving the same transmission effect, which is of guiding significance for the planning of network lines.

In order to study traffic dynamics on multilayer networks, it is of great significance to build a network model which can more exactly reflect the actual network layered structure characteristics. In this paper, a three-layer network model in which two logical layers are mapped on one physical layer is established, and the traffic capacities of three kinds of multilayer networks with different combinations of logical layers are compared. Simulation results show that when the physical layer is the same random network, the network whose logical layers are two random networks has the optimal traffic capacity, the network with one random network and one scale-free network in the logical layers has the better traffic capacity than the network whose logical layers are two scale-free networks.