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<p>Ground-based monitoring of natural disasters faces challenges of insufficient power and data transmission loss due to weather and underlying surface conditions. Aiming to address the contradiction between the differentiated transmission requirements of multi-priority data and the limited energy in WSN for debris flow monitoring, we propose two enhanced MAC protocols—RIMP-MAC and SAMP-MAC—that reduce delay and extend network lifetime. The simulation results by combining the measured and simulated data of debris flow show that the adaptive learning-based SAMP-MAC performs better in many aspects. Therefore, SAMP-MAC is more suitable for the requirements in this scenario, and it has reference value for the field of IoT monitoring of natural disasters.</p>

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Research on multi-priority data scheduling methods for monitoring debris flow

  • 期刊论文

  • 发表日期：

    2026年4月17日

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  • Wanyun Tan,
  • Hailong Liu

摘要

Ground-based monitoring of natural disasters faces challenges of insufficient power and data transmission loss due to weather and underlying surface conditions. Aiming to address the contradiction between the differentiated transmission requirements of multi-priority data and the limited energy in WSN for debris flow monitoring, we propose two enhanced MAC protocols—RIMP-MAC and SAMP-MAC—that reduce delay and extend network lifetime. The simulation results by combining the measured and simulated data of debris flow show that the adaptive learning-based SAMP-MAC performs better in many aspects. Therefore, SAMP-MAC is more suitable for the requirements in this scenario, and it has reference value for the field of IoT monitoring of natural disasters.