| 基于DRNN的ATM网络拥塞控制及仿真 |
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| 引用本文： | 黄云仙,宋自林,郑少仁.基于DRNN的ATM网络拥塞控制及仿真[J].系统仿真学报,2000,12(2):124-126. |
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| 作者姓名： | 黄云仙 宋自林 郑少仁 |
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| 作者单位： | 解放军通信工程学院,南京,210016 |
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| 摘 要： | 提出一种在用户－网络接口处利用对角递归神经网络（ＤＲＮＮ）作为自适应预测器，实现ＡＴＭ网络自适应拥塞控制的模型。当ＤＲＮＮ预测下一时刻缓冲区中的信元数超过阈值时，控制器产生一个反馈控制信号减小信源进入网络的信元速率以避免拥塞发生。用语音和图象信源所作的仿真本文提出的模型较基于常规前馈网络的模型具有系统结构简单、控制效果好、实时性好等优点。
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| 关 键 词： | ATM网络 神经网络 拥塞控制 DRNN 仿真 |
ATM Network Congestion Control Based on DRNN and its Simulation |
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| HUANG Yun-xiang,SONG Zi-lin,ZHENG Shao-ren.ATM Network Congestion Control Based on DRNN and its Simulation[J].Journal of System Simulation,2000,12(2):124-126. |
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| Authors: | HUANG Yun-xiang SONG Zi-lin ZHENG Shao-ren |
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| Abstract: | This paper presents an adaptive congestion control model in ATM networks at the user to network interface by using a diagonal recurrent neural network (DRNN) as an predictor. When DRNN predicts that the number of cells in buffer exceeds the threshold limit in the next time cycle, a control signal is generated by the controller to throttle arrival cell rate. Simulations of voice and video sources show that the presented model is simple in system construction and good in performance and real-time. |
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| Keywords: | ATM networks neural networks congestion control statistical multiplex |
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