Open AccessIntelligent Routing Scheme for SDN Satellite Network Based on Neural Network
Author(s) -
Wei-chao Sun,
Jun Liang,
Nan Xiao,
Ran Ding,
Zhenhao Zhang
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/563/5/052087
Subject(s) - computer science , routing table , computer network , routing (electronic design automation) , hierarchical routing , artificial neural network , content addressable memory , quality of service , distributed computing , static routing , real time computing , routing protocol , artificial intelligence
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.