Research on Sequential Learning Routing Considering Cross-domain Road Delay Sensitivity 

Xuan Qiyun  Guo Qian

Nanjing Guorui Defense Systems Co., Ltd.Jiangsu Nanjing, 210000;

Abstract:Aiming at the sensitive problem of the delay in the construction of the cross-domain connection between the terminal device and the remote server in the future large-scale machine communication, a deep sequence learning routing technology is proposed. This technology breaks through the basic setting of traditional routing calculations based on topology information, makes full use of the implicit correlation between historical routing and topology, and constructs a deep neural network to achieve the mapping of routing requests and routing results in a given network state. Experimental results show that the trained neural network can adaptively generate routing results based on routing requests, without the need for multi-domain collaborative calculations, and reducing the road construction delay by about 50%.

Keywords:cross-domain connection, delay, deep neural network, sequence learning routing

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