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Hybrid GA-BF based intelligent PID active queue management control design for TCP network

机译:基于混合GA-BF的TCP网络智能PID主动队列管理控制设计

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Active queue management (AQM) is a key congestion control scheme for reducing packet loss and improving network utilization in TCP/IP networks. This paper proposes a hybrid intelligent proportional-integral-derivative (PID) controller as an active queue manager for Internet routers. This paper deals with hybrid system (GA-BF) based on the conventional GA (Genetic Algorithm) and BF (Bacterial Foraging) which is social foraging behavior of bacteria. A hybrid (GA-BF) is employed to derive optimal or near optimal PID controller gains such that an objective function of step response characteristic's parameter is minimized, and thereby a stable queue length, low packet loss, and high link utilization for TCP networks are guaranteed. The performance of the proposed control scheme is evaluated in various network scenarios via a series of numerical simulations.
机译:主动队列管理(AQM)是一种关键的拥塞控制方案,可减少数据包丢失并提高TCP / IP网络中的网络利用率。本文提出了一种混合智能比例积分微分(PID)控制器作为Internet路由器的主动队列管理器。本文研究了基于传统遗传算法(GA)和细菌觅食行为BF(细菌觅食)的混合系统(GA-BF)。混合(GA-BF)用于得出最佳或接近最佳的PID控制器增益,从而最小化阶跃响应特性参数的目标函数,从而实现TCP网络的稳定队列长度,低数据包丢失和高链路利用率保证的。通过一系列数值模拟,在各种网络场景中评估了所提出的控制方案的性能。

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