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Adaptive Neuron PID: A New Active Queue Management Algorithm

机译:自适应神经元PID:一种新的主​​动队列管理算法

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Active queue management (AQM) can maintain smaller queuing delay and higher throughput by purposefully dropping the packets at intermediate nodes. In this paper, a novel AQM algorithm, called adaptive neuron PID, is proposed, and the detailed statement of this algorithm is given. Simulation results show that the new algorithm is stable and robust for small time-delay network, and the response speed and the performance are obviously better than that of some existing algorithms such as ARED, PI and REM. At the same time, for the networks with large time-delay, this algorithm is also stable
机译:主动队列管理(AQM)通过有目的地在中间节点丢弃数据包,可以保持较小的排队延迟和较高的吞吐量。本文提出了一种新的AQM算法,称为自适应神经元PID,并给出了详细的算法说明。仿真结果表明,该算法在较小的时延网络中是稳定且鲁棒的,其响应速度和性能明显优于现有的一些算法,如ARED,PI和REM。同时,对于时延较大的网络,该算法也是稳定的

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