Shandong Key Laboratory of Intelligent Buildings Technology, School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China.
Faculty of Engineering, Lakehead University, Thunder Bay, ON P7B 5E1, Canada.
Sensors (Basel). 2022 Feb 25;22(5):1818. doi: 10.3390/s22051818.
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 algorithm in queue length stability. Besides, the window size of CCAIB is 100 times that of the H algorithm, and the proportion of packets marked as discarded when using CCAIB is about 0.1% of the H 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.
无线信息采集和处理终端，如手机、传感器和智能可穿戴设备，预计未来将大规模部署，以推动全球信息革命的持续进步。由于这些终端中的大多数都通过多个路由器和最终接入互联网的远程高速网络相互连接，移动互联网的应用正在逐渐增加，移动互联网的数据流量呈指数级增长，从而导致多个路由器的无线网络拥塞。本研究解决了具有多个瓶颈路由器的无线网络拥塞问题。首先，将无线网络模型扩展到多路由器网络，考虑了连接路由器之间的相互关系。然后，设计了一种新的基于自适应积分反推的主动队列管理（AQM）方法，称为基于自适应积分反推的拥塞控制（CCAIB），用于处理无线网络拥塞。在 CCAIB 中，使用自适应控制方法来估计无线链路的丢包率，并通过反推过程基于估计结果设计控制器。从仿真结果可以看出，CCAIB 的性能在队列长度稳定性方面优于 H 算法。此外，CCAIB 的窗口大小是 H 算法的 100 倍，使用 CCAIB 标记为丢弃的数据包比例约为 H 算法的 0.1%。此外，CCAIB 对无线链路容量、传播延迟、无线丢包率、期望队列长度和路由器位置等网络参数具有令人满意的适应性。
