A LORAWAN-BASED IOT ARCHITECTURE FOR REAL-TIME FLOOD SENSING AND SAFETY NOTIFICATION VIA SMS

Flooding continues to threaten many communities, particularly where water level monitoring and warning
processes remain manual and slow. This study aims to design and simulate a smart flood management system
that automates water level detection, long range data transmission, and SMS based alert notification. The
purpose of the research is to address delays in information flow during flood events and to provide an efficient
mechanism that supports timely disaster preparedness and response. A design and simulation approach was
employed to develop the system architecture, integrating LoRaWAN for remote data communication and an
SMS gateway for the automated dissemination of alerts.
Results from the simulation show that the system achieved stable long-range transmission, low power
consumption, and a very acceptable success rate in sending SMS alerts once threshold levels were reached.
Dashboard components, message formats, and monitoring functions performed according to the expected design
requirements. These findings indicate that the system is feasible, reliable, and suitable for enhancing early
warning capabilities in flood prone communities. Further field testing and eventual deployment are
recommended to validate the system’s performance in real environmental conditions and expand its features for
greater disaster resilienc