International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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IOT Based Smart Disaster Monitoring System For Mountain Regions

Author(s) Ms. D Deekshitha, Ms. P Gopika, Ms. A Riythvika, Prof. Dr. P Rajkumar, Prof. Dr. R Shoba Rani, Prof. Dr. J Jerald
Country India
Abstract The environmental worth of mountain areas is constantly growing, but the susceptibility to natural disasters including forest fires and landslides are rapidly rising because of the impact of climate change, deforestation and more active people. Traditional disaster detection systems frequently fail to be valuable in distant and rugged areas, as these are based on either human eye inspection or satellite surveillance, which has a low level of accuracy and a slow response. The proposed paper is an IoT-based smart disaster monitoring system to detect forest fires and landslides in mountainous areas in real-time and provide an early warning. The offered system combines several sensors such as temperature and gas sensors to detect the fire, MEMS sensor detecting the vibrations or land shifts on the ground, and a soil moisture sensor to determine the level of ground saturation rates related to the landslide risks. Data of sensors are sent wirelessly to a central monitoring unit where the data is continuously analyzed. When the abnormal conditions are detected, early warning messages are communicated to the local authorities via cloud based system. The proposed system can enhance disaster preparedness, improve response time, and minimize risks to human life, infrastructure, and biodiversity in disaster-prone mountainous regions because it will integrate fire and landslide monitoring into a single framework to enhance disaster preparedness.
Keywords Internet of Things (IoT), Disaster Monitoring, Forest Fire Detection, Landslide Detection, MEMS Sensor, Environmental Monitoring.
Field Engineering
Published In Volume 8, Issue 2, March-April 2026
Published On 2026-03-15
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E-ISSN 2582-2160
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