Disaster Monitoring based on IoT and Long Range Assisted Framework

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Abstract

We encounter so many hazardous situations which effects living species and the materials they own. Due to natural calamities and environmental disasters, there is an increase in losses of lives and materials. Landslides are caused due to heavy rains, sloping of land because of earthquakes and deforestation. The research is about the preventive landslide detection and alerting system using various sensors and Arduino. The data collected by the sensors is transferred to Arduino which is further sent to NODEMCU through Lora module. The data obtained at NODEMCU will be transferred to database server for real-time monitoring and processing. Due improvement in the field of IoT systems has made the use of low cost, low power LoRA technologies to detect the environmental disaster and prevent from dangerous situations with less damage to living beings. In view to cover larger area with reduced costs and low power consumption, we used the LoRa technology for transmitting the monitoring data and Wi-Fi communication is used for sending the alerts. The processed data will be displayed on the mobile application interface.

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APA

Bagwari, S., Roy, A., Singh, R., & Gehlot, A. (2022). Disaster Monitoring based on IoT and Long Range Assisted Framework. In Journal of Physics: Conference Series (Vol. 2327). Institute of Physics. https://doi.org/10.1088/1742-6596/2327/1/012020

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