A discrete-time sliding mode congestion controller for wireless sensor networks

• Published in: Optik (Stuttgart) Vol. 225; p. 165727
• Main Authors: Qu, Shaocheng, Zhao, Liang, Chen, Yao, Mao, Wenqi
• Format: Journal Article
• Language: English
• Published: Elsevier GmbH 01.01.2021
• Subjects: Internet of Things (IoT); NS-2.35; Sliding mode control (SMC); Traffic-based congestion control; Wireless Sensor Networks (WSNs); Traffic-based congestion control; Wireless Sensor Networks (WSNs); Internet of Things (IoT); Sliding mode control (SMC); NS-2.35
• ISSN: 0030-4026; 1618-1336
• DOI: 10.1016/j.ijleo.2020.165727

Congestion is a challenging problem for Wireless Sensor Networks (WSNs) because it results in energy waste, packet loss, low throughput and short lifecycle. By regulating incoming and outgoing packets at a particular node, this paper first proposes a new traffic-based discrete congestion control model in WSNs. Then, based on this model, an exponential-reaching-law-based discrete-time sliding mode congestion controller (DSMC) is designed, which effectively adjusts bottleneck nodes’ queue length to desired value. Extensive NS-2.35 simulation results demonstrate that the proposed DSMC outperforms conventional control approaches (such as Fuzzy control, PID control and Fuzzy-PID), it significantly controls queue length and avoids congestion, and has better performance such as short delay, low packet loss rate, high throughput, long network lifetime, fast convergence and strong stability.