Routing Strategy Based on Local Information on Scale-free Networks with Tunable Clustering
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 scale-free network with different clustering coefficient by adopting the local topological routing strategy with the optimal parameter, and the results revealed that the more clustered network, the less efficient the packet delivery process. Finally, it would be worth noticing at this point that, the proposed strategy is easily implemented, since local topological and dynamic information can be both straightly obtained.
routing strategy scale-free network dynamic process
Dan Wang Liang Dong Lin Li Bo Zhang Yongcheng Xie
Key Laboratory of Manufacturing Industrial Integrated Automation Shenyang University Shenyang, China Control Engineering Academy of Armored Force Engineering Beijing, China
国际会议
长沙
英文
2606-2609
2010-05-11（万方平台首次上网日期，不代表论文的发表时间）