Research Article
Design of Short-Term Network Congestion Active Control System Based on Artificial Intelligence
@INPROCEEDINGS{10.1007/978-3-030-67871-5_17, author={Shuang-cheng Jia and Feng-ping Yang}, title={Design of Short-Term Network Congestion Active Control System Based on Artificial Intelligence}, proceedings={Advanced Hybrid Information Processing. 4th EAI International Conference, ADHIP 2020, Binzhou, China, September 26-27, 2020, Proceedings, Part I}, proceedings_a={ADHIP}, year={2021}, month={2}, keywords={Artificial intelligence Network congestion Active control Main control frame A congestion node Sudden transmission mechanism}, doi={10.1007/978-3-030-67871-5_17} }- Shuang-cheng Jia
Feng-ping Yang
Year: 2021
Design of Short-Term Network Congestion Active Control System Based on Artificial Intelligence
ADHIP
Springer
DOI: 10.1007/978-3-030-67871-5_17
Abstract
Traditional network congestion active control system has the problems of large amount of network congestion data and uneven distribution of main control nodes. Therefore, this paper proposes a short-term network congestion active control system based on artificial intelligence. In the congestion control framework, the network motor and congestion control nodes are connected to complete the construction of the system hardware operating environment. The control strategy of artificial intelligence node is used to determine the congestion location, improve the logic control standard, optimize the system software running environment, and complete the design of short-term network congestion active control system based on artificial intelligence. The results show that, compared with the traditional random detection control technology, the short-term network based on artificial intelligence is feasible. After the design of congestion active control system, the total amount of congestion data is significantly reduced, and the master node presents an ideal uniform distribution state.
