Improvement of control at network node based on fuzzy controls

One of the main tasks of controlling communications at the network node is managing the queues, maintaining a reasonable probability of proactive packet removal to minimize congestion, while ensuring the quality of traffic flows and equity in the relationship between traffic flows, when the dynamic state of the network changes. However, current queue management mechanisms still need to be improved to both simplify implementation and improve intelligence in maintaining the average queue length. Therefore, the paper focuses on improving the queue management mechanism at the network node, on the basis of applying the achievements of the soft computing field to supplement the adaptability, the ability to learn, the ability to intelligent decision making for queue management system at the network node.