Intelligent Routing Scheme for SDN Satellite Network Based on Neural Network

2019 International Conference on Advanced Electronic Materials, Computers and Materials Engineering

无线电电子学;计算机科学;材料科学

Sun, Weichao^1 ; Liang, Jun^1 ; Xiao, Nan^1 ; Ding, Ran^1 ; Zhang, Zhenhao^1

Information and Navigation College of Air Force Engineering University, Xi'an, China^1

关键词: Diverse applications;    Intelligent routing;    Neural network (nn);    Orthogonal polynomial;    QoS requirements;    Routing efficiency;    Satellite network;    Transmission mode;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/563/5/052087/pdf
DOI  :  10.1088/1757-899X/563/5/052087

来源: IOP

【 摘 要 】

In view of the existing SDN-based satellite network system, the tri-state content-addressable memory (TCAM) space occupied by the flow table is increasing, and the search and matching of flow entries are complicated, resulting in reduced routing and forwarding efficiency, which cannot meet the needs of diverse application requirements. Therefore, an intelligent routing scheme of SDN satellite network based on neural network (IRSSN) is proposed. The controller acquires the transmission mode of the data stream by training the neural network (NN), and replaces the flow table with the trained NN. An intelligent routing mechanism based on the orthogonal polynomial (Chebyshev) neural network is proposed. The switch predicts its forwarding path according to the traffic type of the data stream to meet the QoS requirements of the satellite network application. The simulation results show that IRSSN significantly reduces the occupied TCAM space and improves routing efficiency.