Journal Title : International Journal of Modern Trends in Engineering and Science
Paper Title : LANDSLIDE PREDICTION SYSTEM BASED ON WIRELESS PERSONAL AREA NETWORK AND IOT
Volume 03 Issue 09 2016
ISSN no: 2348-3121
Page no: 138-140
Abstract – Landslide susceptibility mapping is indispensable for disaster management and planning development operations in mountainous regions. Around the globe, landslides and mudslides are serious geological hazards affecting people, and causing significant damages every year. Approximately 15% of total area of India is susceptible to landslides. These areas are marked as Landslide Hazard Zones. Landslides occur mainly due to heavy rainfall experienced by these zones during the monsoon season and sometimes as an aftermath of an earthquake. The existing methods uses satellite image sensing technology or a camera based image sensing. But these methods are not the cheapest one also. The solution this project is based upon the concept of low cost wireless sensor networks (WSN). WSN method uses a sensor network consisting of sensor columns. Sensor columns are deployed on hills to find the early signals preceding a mudslide or landslide. This sensor network consists of a collection of sensor columns placed inside the vertical holes drilled during the network deployment phase and they are installed in a distributed manner over the monitored area. Each sensor column has two components: the sensing component that is buried underground and contains all the instruments, and the computing component that stays above ground and contains the processor and radio module.
Keywords— Wireless Personal Area Network, Arduino, ESP8266 WiFi Module, Soil Moisture sensor, Vibrational Sensor, MEMS Accelerometer
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