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Fuzzy logic rate adjustment controls using a circuit breaker for persistent congestion in wireless sensor networks

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Abstract

Congestion control is necessary for enhancing the quality of service in wireless sensor networks (WSNs). With advances in sensing technology, a substantial amount of data traversing a WSN can easily cause congestion, especially given limited resources. As a consequence, network throughput decreases due to significant packet loss and increased delays. Moreover, congestion not only adversely affects the data traffic and transmission success rate but also excessively dissipates energy, which in turn reduces the sensor node and, hence, network lifespans. A typical congestion control strategy was designed to address congestion due to transient events. However, on many occasions, congestion was caused by repeated anomalies and, as a consequence, persisted for an extended period. This paper thus proposes a congestion control strategy that can eliminate both types of congestion. The study adopted a fuzzy logic algorithm for resolving congestion in three key areas: optimal path selection, traffic rate adjustment that incorporates a momentum indicator, and an optimal timeout setting for a circuit breaker to limit persistent congestion. With fuzzy logic, decisions can be made efficiently based on probabilistic weights derived from fitness functions of congestion-relevant parameters. The simulation and experimental results reported herein demonstrate that the proposed strategy outperforms state-of-the-art strategies in terms of the traffic rate, transmission delay, queue utilization, and energy efficiency.

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Acknowledgements

This work was supported by grants from the Research Fund for Supporting Lecturer to Admit High Potential Student to Study and Research on His Expert Program Year 2017 from the Graduate School, Khon Kaen University, Thailand (Grant No. 601T213); the Research Affairs and Graduate School, Khon Kaen University, Thailand, through the Post-Doctoral Training Program under Grant 59257; and the Thailand Research Fund (TRF) under Grant No. RTA6080013.

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Authors and Affiliations

  1. Applied Network Technology (ANT) Laboratory, Department of Computer Science, Faculty of Science, Khon Kaen University, Khon Kaen, Thailand

    Phet Aimtongkham, Sovannarith Heng, Tri Gia Nguyen & Chakchai So-In

  2. Department of Computer Science, Faculty of Science, Royal University of Phnom Penh, Phnom Penh, Cambodia

    Sovannarith Heng

  3. School of Computer Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima, Thailand

    Paramate Horkaew

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  1. Phet Aimtongkham
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Correspondence to Chakchai So-In.

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Aimtongkham, P., Heng, S., Horkaew, P. et al. Fuzzy logic rate adjustment controls using a circuit breaker for persistent congestion in wireless sensor networks. Wireless Netw 26, 3603–3627 (2020). https://doi.org/10.1007/s11276-020-02289-0

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