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We study traffic dynamics and propose a new routing strategy based on the local topological information in scale-free network. According to the new routing strategy with a single tunable parameter, a packet is delivered to next node with probabilities that depend not only on the degrees of the next node but also the estimated waiting time at the new node. The routing algorithm is implemented in BA...
A new routing strategy is proposed based on local information for enhancing the efficiency of traffic delivery on scale-free networks with tunable clustering. The strategy is governed by two parameters. Simulation results show that the capacity of maximum traffic flow is greatly enhanced by the optimal controlled parameter of new routing strategy. Moreover, a simulation is performed in a model of...
In recent years, there are substantial demands to reduce packet loss in the Internet. Among the schemes proposed, finding backup paths in advance is considered to be an effective method to reduce the reaction time. Very commonly, a backup path is chosen to be a most disjoint path from the primary path, or in the network level, backup paths are computed for all links (e.g., IPRFF). The validity of...
We study the influence of complex network topological structures on the traffic delivery based on the traffic awareness routing strategy. As free traffic flow on the communication networks is important to their efficient functioning, we focus on the network capacity that can be measured by the critical point of phase transition from free flow to congestion. Here we address influence of the topology...
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