2009•Unpublished venueRequires access

Efficient Traffic Dynamical Process on Complex Networks

Dan Wang, Yucheng Zhou, Yuanwei Jing, Siying Zhang

Open publisher page 1 citations

Abstract

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 on the dynamics of traffic flow for complex networks, taking into account the network topology, the information generating rate, and the information-processing capacity of individual nodes. Simulation results show that, there is a critical information generation point below which the network traffic is free but above which traffic congestion occurs. Moreover, the critical value is obviously different for different topological structures.

About this research paper

What this paper is about

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 on the dynamics of traffic flow for complex networks, taking into account the network topology, the information generating rate, and the information-processing capacity of individual nodes. Simulation results show that, there is a critical information generation point below which the network traffic is free but above which traffic congestion occurs. Moreover, the critical value is obviously different for different topological structures.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

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 on the dynamics of traffic flow for complex networks, taking into account the network topology, the information generating rate, and the information-processing capacity of individual nodes. Simulation results show that, there is a critical information generation point below which the network traffic is free but above which traffic congestion occurs. Moreover, the critical value is obviously different for different topological structures.

Key concepts: Computer science, Network topology, Computer network, Traffic generation model, Complex network, Distributed computing, Topology (electrical circuits), Traffic flow (computer networking)

Related papers

Back to paper searchBrowse research topicsOriginal source
Efficient Traffic Dynamical Process on Complex Networks — Research Paper | ScholarLens