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<p>A hybrid control algorithm that combines channel selection and transmission power control for Sub-1&#xa0;GHz wireless sensor networks is presented in this paper. By assessing the conditions of candidate channels, the proposed algorithm can identify the optimal channel with minimal interference for data transmission. Furthermore, by analyzing link quality estimators and integrating a fuzzy control mechanism, the system can dynamically adjust the transmission power based on the surrounding environment of the nodes. Frequency hopping is also employed to avoid unstable frequency bands. The proposed algorithm enables nodes to reduce power consumption and extend the system’s lifespan, while maintaining stable communication. Long-term experiment results show that the hybrid control algorithm meets the stable communication requirements defined by IEEE802.15.4, achieving a packet error rate below 1% across various test locations. Notably, the algorithm’s performance becomes more prominent when the environment undergoes rapid changes.</p>

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Fuzzy-Based Hybrid Control Algorithm of Low-Power Wireless Sensor Network System

  • 期刊论文

  • 发表日期：

    2025年2月19日

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  • Chung-Wen Hung,
  • Tzu-Hui Lee,
  • Chun-Chieh Wang,
  • Chien-Lung Chen

摘要

A hybrid control algorithm that combines channel selection and transmission power control for Sub-1 GHz wireless sensor networks is presented in this paper. By assessing the conditions of candidate channels, the proposed algorithm can identify the optimal channel with minimal interference for data transmission. Furthermore, by analyzing link quality estimators and integrating a fuzzy control mechanism, the system can dynamically adjust the transmission power based on the surrounding environment of the nodes. Frequency hopping is also employed to avoid unstable frequency bands. The proposed algorithm enables nodes to reduce power consumption and extend the system’s lifespan, while maintaining stable communication. Long-term experiment results show that the hybrid control algorithm meets the stable communication requirements defined by IEEE802.15.4, achieving a packet error rate below 1% across various test locations. Notably, the algorithm’s performance becomes more prominent when the environment undergoes rapid changes.