Transport Optimization Of Traffic Flow Based On Complex Networks

With the ever-changing information technology represented by the Internet,the demand for a variety of applications continues to increase,the information transmitted over the network carried more and more.A large amount of network traffic,especially concurrent transmission of real-time information is extremely easy to cause network congestion,resulting in the degradation of overall network transmission performance.How to ease network congestion and optimize network transmission of information has become an important research topic.With the rise of complex networks,the use of complex network theory to be reasonably modeled the actual network structure,and to analyze the transmission characteristics of network information has aroused great concern.In this paper,based on the complex network model and complex network theory,the issues of the network congestion and network information transmission optimization are studied and analyzed.Using different complex network model,different information transmission optimization strategies are proposed from network routing optimization and link bandwidth resource allocation respectively.We study the optimization of network information trans-mission from routing strategy in this thesis.For the actual network often has both scale-free property and large clustering coefficient,a scale-free network model with adjustable clustering coefficient is adopted and established.Inspired by the node-betweenness-based routing strategy,an improved routing strategy is proposed.In this strategy,we use an iterative method to reduce the maximum node betweenness continually and to make the distribution of nodes' betweenness be more balanced in the network,improving the network capacity and the transmission efficiency of information.The optimization of network information transmission is studied from the perspective of the distribution and allocation of the network resources in this paper.As the actual network link bandwidth resources are always limited,and the bandwidth on each link is often different,we fully use the distribution characteristic of the node strength and edge weight in weighted evolving network model to study the link bandwidth resources allocation strategy.Based on the network node strength and the network edge weight,two bandwidth resources allocation strategies are proposed.The simulations on the weighted networks confirm the validity of the proposed bandwidth allocation strategies.