Citation

Yusri, Nur Adlah and Yogarayan, Sumendra and Razak, Siti Fatimah Abdul and Abdullah, Mohd. Fikri Azli and Azman, Afizan (2025) Development and Evaluation of LPWAN-Based Flood Monitoring and Warning System: Assessing Communication Range, Signal Quality, and Alert Mechanisms. Lecture Notes in Electrical Engineering, 1229. pp. 63-76. ISSN 1876-1100

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Abstract

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

Item Type:	Article
Uncontrolled Keywords:	Flood, LoRa, monitoring
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	06 Mar 2025 02:27
Last Modified:	06 Mar 2025 02:27
URII:	http://shdl.mmu.edu.my/id/eprint/13597

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