基于内模控制的自适应主动队列管理算法

Adaptive active queue management algorithm based on internal model control

实际网络具有大时滞性和动态特性。针对大时滞特性,根据内模控制(IMC)和改进的TCP/AQM控制理论模型设计了一种适合于大延时网络环境的主动队列管理算法。而对于网络的动态特性,分析了网络参数的变化给算法带来的影响,并以此对算法参数进行在线修正,得到符合大时滞网络的自适应AQM算法。最后通过NS2仿真实验验证了设计的AQM算法的可靠性。

Real networks are of large delay and dynamics.According to the IMC（Internal Model Control） and improved control theory model with TCP/AQM,an active queue management algorithm suitable for the large delay network environment was designed to cope with the large delays.For the dynamics of the networks,the impact that the change of network parameter brings to the algorithm was analyzed to correct the algorithm parameter online.The adaptive active queue management algorithm suitable for the large delay network was acquired.The reliability of the algorithm has been verified by NS2 simulation.