A discrete-time sliding mode congestion controller for wireless sensor networks
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 mod...
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| Published in | Optik (Stuttgart) Vol. 225; p. 165727 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
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01.01.2021
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| Abstract | 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. |
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| AbstractList | 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. |
| ArticleNumber | 165727 |
| Author | Qu, Shaocheng Chen, Yao Zhao, Liang Mao, Wenqi |
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| Cites_doi | 10.1016/j.aeue.2018.04.013 10.1007/s11036-018-1018-y 10.1109/41.370376 10.3390/s18041265 10.1016/j.ijleo.2018.09.186 10.1080/13614576.2017.1368407 10.1016/j.ijleo.2013.07.041 10.1007/s00521-020-04758-1 10.1109/TIE.2013.2279369 10.1007/s11277-018-5648-y 10.1109/ChiCC.2016.7554692 10.1049/iet-cta.2015.0948 10.1109/TWC.2007.051035 10.1016/j.ijleo.2018.12.055 10.1109/TAC.2014.2308620 |
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| Keywords | Traffic-based congestion control Wireless Sensor Networks (WSNs) Internet of Things (IoT) Sliding mode control (SMC) NS-2.35 |
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