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

In the context of an early warning system for landslides, monitoring prone areas is a long-lasting process, little human intervention, and resource less environment. Data changes in area may be noticed many days, months, or years depending on weather characteristics. Therefore, frequent large amount data monitored not required to send cloud server. Moreover, Long-range communication provided comprehensive spectrum protocol low power consumption with fewer rates. Over advantage LoRa technology, we designed customized sensor node gateway monitor periodically energy consumption. We evaluated distinct metrics spreading factor, sensitivity, time-on-air, consumption, link budget, battery life nodes. Finally, this study concludes challenges faced real-time which received via