• 移动互联与通信技术 •

### 复杂网络下具有预测与自我调节能力的拥塞控制算法

1. (中山大学 新华学院,广州 510520)
• 收稿日期:2016-05-10 出版日期:2017-12-15 发布日期:2017-12-15
• 作者简介:邱泽敏(1983—),女,工程师、硕士,主研方向为异构网络、神经网络、数据挖掘;万智萍,讲师、硕士。

### Congestion Control Algorithm with Prediction and Self-regulation Ability Under Complex Network

QIU Zemin,WAN Zhiping

1. (Xinhua College,Sun Yat-sen University,Guangzhou 510520,China)
• Received:2016-05-10 Online:2017-12-15 Published:2017-12-15

Abstract: Existing congestion control algorithm still exists the problem of packet loss rate is too large in the complex network environment.In response to this phenomenon,through studying the problem of network congestion control,this paper proposes a congestion control algorithm,which has the ability of prediction and self-regulation.It uses fuzzy neural network controllers to predict the congestion in the network.According to the queue length in buffer for real-time predictioin.Before the congestion is about to occur,it uses transmission rate of the control input to suppress.It dynamicly adjusts the transmission rate combined with variables like increment parameters and decrement parameters.Experimental results show that,this algorithm can be maintained better convergence effect at different signal-to-noise ratio.And its network packet loss rate is not affected by the exchange rate of the network.It has good stability and fidelity.