Scholarlink

This project aims to develop a flood monitoring and warning system using Low-Power Wide-Area Network (LPWAN) technology. The system employs ultrasonic sensors placed in sensor nodes to measure water levels in flood-prone areas. Data collected by the sensor nodes is wirelessly transmitted to a central gateway node using the Long Range (LoRa) protocol. The gateway node then forwards the data to a cloud-based server for storage and analysis. The system includes testing and optimisation to determine the optimal communication range and performance of the LoRa devices. Signal quality parameters such as Received Signal Strength Indicator (RSSI) and Signal-to-Noise Ratio (SNR) are evaluated to assess the system’s performance. Additionally, a data visualisation and alert system is developed to provide users with real-time monitoring and timely alerts. The results demonstrate the successful implementation of the flood monitoring and warning system using LoRa technology, with accurate water level measurements and effective alert triggering. The system’s communication range was observed to be limited to 400 m, but enhancements such as improved antennas and more powerful LoRa devices could overcome this limitation. The evaluation of signal quality parameters revealed variations in RSSI and SNR values, suggesting potential environmental factors and interference. Despite these challenges, the system shows potential for addressing flood-related issues and can be further improved for broader deployment in diverse areas.

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Development and Evaluation of LPWAN-Based Flood Monitoring and Warning System: Assessing Communication Range, Signal Quality, and Alert Mechanisms

  • 会议论文

  • 发表日期：

    2025年

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  • Nur Adlah Mohamad Yusri,
  • Sumendra Yogarayan,
  • Siti Fatimah Abdul Razak,
  • Mohd. Fikri Azli Abdullah,
  • Afizan Azman

摘要

This project aims to develop a flood monitoring and warning system using Low-Power Wide-Area Network (LPWAN) technology. The system employs ultrasonic sensors placed in sensor nodes to measure water levels in flood-prone areas. Data collected by the sensor nodes is wirelessly transmitted to a central gateway node using the Long Range (LoRa) protocol. The gateway node then forwards the data to a cloud-based server for storage and analysis. The system includes testing and optimisation to determine the optimal communication range and performance of the LoRa devices. Signal quality parameters such as Received Signal Strength Indicator (RSSI) and Signal-to-Noise Ratio (SNR) are evaluated to assess the system’s performance. Additionally, a data visualisation and alert system is developed to provide users with real-time monitoring and timely alerts. The results demonstrate the successful implementation of the flood monitoring and warning system using LoRa technology, with accurate water level measurements and effective alert triggering. The system’s communication range was observed to be limited to 400 m, but enhancements such as improved antennas and more powerful LoRa devices could overcome this limitation. The evaluation of signal quality parameters revealed variations in RSSI and SNR values, suggesting potential environmental factors and interference. Despite these challenges, the system shows potential for addressing flood-related issues and can be further improved for broader deployment in diverse areas.