CCAIB: Congestion Control Based on Adaptive Integral Backstepping for Wireless Multi-Router Network

Wireless information collecting and processing terminals, such as cell phones, sensors and smart wearable devices, are expected to be deployed on a large scale in the future to promote the continuous advancement of the global information revolution. Since most of these terminals connect to each other using long-distance and high-speed networks by multiple routers and eventual access the internet, the application of mobile internet is gradually increasing and data traffic on the mobile internet is growing exponentially, from which arises congestion in wireless networks on multiple routers. This research solves the congestion problem for wireless networks with multiple bottleneck routers. First, the wireless network model is expanded to multi-router networks, which considers the interrelationships between connecting routers. Afterwards, a new Active Queue Management (AQM) method called Congestion Control Based on Adaptive Integral Backstepping (CCAIB) is designed to handle congestion in wireless networks. In CCAIB, an adaptive control method is used to estimate the packet loss ratios of wireless links and a controller is designed based on the estimation results through a backstepping procedure. It can be shown from the simulation results that the performance of CCAIB is better than the H infinity algorithm in queue length stability. Besides, the window size of CCAIB is 100 times that of the H infinity algorithm, and the proportion of packets marked as discarded when using CCAIB is about 0.1% of the H infinity algorithm. Moreover, CCAIB has satisfactory adaptability to network parameters such as wireless link capacity, propagation delay, wireless packet loss ratios, desired queue length and router location.

Automated summary

This research addresses the congestion problem in wireless networks with multiple bottleneck routers. It expands the wireless network model to a multi-router network and proposes a new congestion control method called CCAIB. Simulation results demonstrate that CCAIB outperforms traditional algorithms in terms of queue length stability and packet loss rate.