LoRa Based Metrics Evaluation for Real-Time Landslide Monitoring on IoT Platform

In the context of an early warning system for landslides, monitoring of prone areas is a long-lasting process, little human intervention, and a resource less environment. Data changes in the monitoring area may be noticed in many days, months, or years depending on the weather characteristics. There...

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Bibliographic Details
Published in:IEEE access 2022, Vol.10, p.46392-46407
Main Authors: Bagwari, Swapnil, Roy, Ajay, Gehlot, Anita, Singh, Rajesh, Priyadarshi, Neeraj, Khan, Baseem
Format: Article
Language:English
Subjects:
Batteries
Computer architecture
Customization
customized node
Early warning systems
Energy consumption
Fresnel zone
Landslide monitoring
Landslides
Logic gates
long range radio
LoRa link budget
LoRa sensitivity
Monitoring
Nodes
Payloads
Power consumption
Power management
Real time
Sensors
Servers
Terrain factors
the IoT
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Summary:In the context of an early warning system for landslides, monitoring of prone areas is a long-lasting process, little human intervention, and a resource less environment. Data changes in the monitoring area may be noticed in many days, months, or years depending on the weather characteristics. Therefore, a frequent and large amount of data of monitored area is not required to send on a cloud server. Moreover, Long-range communication provided comprehensive spectrum communication protocol and low power consumption with fewer data rates. Over the advantage of LoRa technology, we designed a customized sensor node and gateway node to monitor the changes periodically with low energy power consumption. We evaluated the distinct metrics of spreading factor, sensitivity, time-on-air, energy consumption, link budget, and battery life of sensor and gateway nodes. Finally, this study concludes with challenges faced in real-time in which the sensor data received via a customized sensor node and gateway on the cloud server.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2022.3169797