FLOOD MONITORING AND PREDICTION BY USING WSN

Authors

  • DURGESH KARPE epartment of Computer Engineering, Sandip Institute ofEngineering And Management, Nashik, India
  • SIMRAN CHAUS epartment of Computer Engineering, Sandip Institute ofEngineering And Management, Nashik, India
  • LALIT WAGH Department of Computer Engineering, Sandip Institute ofEngineering And Management, Nashik, India

Keywords:

Wireless Sensor Network, Machine Learning, Ultrasonic sensor,, Flood Prone Areas.

Abstract

Among the natural disasters faced by mankind often one is flood. There are many sophisticated systems for monitoringflood level in flood prone regions, but the systems which are already implemented are not cost effective. The system we implemented makes use of Wireless Sensor Network which consists of sensors like ultrasonic sensors which will use NRF module for communication between the nodes. The sensors will sense the current level of water and sends the data to the coordinating node and the coordinating node sends the data to the local system or server with the help of node MCU. The local system will make use of machine learning algorithm and will predict the severity of the water level in current future. Our system helps both government and private organizations to work on evacuation and helping people to move to a safer place.

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Published

2021-03-10

Issue

Vol. 7 No. 4 (2020): IJIERT

Section

Articles

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