Assessing Metrics using LoRa Technology for Real-Time Landslide Monitoring within an IoT Framework

This research study introduces a groundbreaking approach to landslip monitoring through the seamless integration of low-power sensors with the versatile Arduino NANO platform, leveraging LoRa-based IoT technology. By facilitating real-time analysis of critical environmental variables such as water l...

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Veröffentlicht in:2024 4th International Conference on Pervasive Computing and Social Networking (ICPCSN) S. 656 - 662
Hauptverfasser: A, Inbavalli, R, Praveena, M, Kaviya
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 03.05.2024
Schlagworte:
Disasters
Landslides
Landslip Monitoring
LoRa
LoRa-based IoT System
Low-power Sensors
Moisture
Real-time Analysis
Real-time systems
Sensor systems
Soil
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Zusammenfassung:This research study introduces a groundbreaking approach to landslip monitoring through the seamless integration of low-power sensors with the versatile Arduino NANO platform, leveraging LoRa-based IoT technology. By facilitating real-time analysis of critical environmental variables such as water levels, soil movement, and humidity, this system enables early detection of soil instability, potentially preventing devastating landslides. Automated email notifications promptly alert authorities and communities to impending threats, enhancing crisis management effectiveness. LoRa technology's extensive coverage, affordability, and adaptability address shortcomings of traditional monitoring methods, while its versatility extends applicability beyond landslip monitoring. This proactive system empowers communities to intelligently respond to environmental changes, providing comprehensive, real-time monitoring for hazard identification and preventive action formulation, ultimately mitigating disaster risks and enhancing overall disaster response capabilities.
DOI:10.1109/ICPCSN62568.2024.00109