Affiliations: [a] School of Mathematics and Computer Science, Xinyang Vocational and Technical College, Xinyang, China
| [b] School of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, UKM Bangi, Selangor, Malaysia
Correspondence:
[*]
Corresponding author. Minghui Wu, School of Mathematics and Computer Science, Xinyang Vocational and Technical College, Xinyang, 464000, China. E-mail: [email protected].
Abstract: Aiming at the problem that the active queue management algorithm can not explicitly control the queue length and the relationship between throughput and delay, a fuzzy information control algorithm based on Active Queue Management for digital substation communication network congestion is proposed. After packet grouping is entered into the router cache queue, the packets that first enter the cache area of the router are preprocessed, and the data packet is processed fairly by using the geometric distribution function. The combination of Smith predictive control and adaptive fuzzy control is used to compensate the network delay of packets, eliminate the negative impact of time delay on active queue jitter and delay jitter, and control congestion according to fuzzy rules intelligently. The experimental results showed that the proposed algorithm can maintain smaller queue oscillations, especially when the network conditions change. It can effectively eliminate the impact of time delay on queue jitter and delay jitter, and improve the overall performance of the network.
Keywords: Digital substation, communication network, congestion information, fuzzy control algorithm
