Wireless Mesh backbone network flow control method and apparatus

Abstract

The invention provides a wireless Mesh backbone network flow control method and apparatus, a computer device, and a storage medium. The method comprises the following steps: collecting routing information of each routing node, obtaining a corresponding relationship between the routing information and an optimal routing path, predicting the optimal routing path through a convolutional neural network according to the corresponding relationship between the routing information and the optimal routing path, and controlling the flow in a wireless Mesh backbone network according to the optimal routing path. In the entire process, based on the preset corresponding relationship between the routing information and the optimal routing path obtained by performing deep learning-convolutional neural network training on the historical routing information, the optimal routing path is predicted via the convolutional neural network to obtain the optimal routing path accurately, and the flow control in the wireless Mesh backbone network is achieved on the basis of the optimal routing path.

Description

technical field [0001] The present application relates to the technical field of wireless communication, in particular to a flow control method, device, computer equipment and storage medium of a wireless Mesh backbone network. Background technique [0002] In recent years, with the development of wireless network technology and infrastructure, more and more mobile devices are connected in real life. Wireless Mesh network (wireless mesh network) is a high-speed, high-capacity, multi- Point-to-multipoint distributed networks are fully utilized around the world. [0003] Wireless Mesh network is a multipoint-to-multipoint distributed network. The communication between nodes in its backbone network mainly relies on routing protocols to maintain the functions of flow control and multi-hop routing. Traditional wireless Mesh backbone networks use distance vector and The link cost is used to calculate the multi-hop route from the source to the destination. This method can achieve ...

AI Technical Summary

Problems solved by technology

[0004] However, with the rapid growth and variability of network traffic brought about by the increase in communication requirements, it becomes more difficult to effectively control traffic.

Images