Study on IOT Based Early Flood Detection & Avoidance

International Conference on Recent Trends in Artificial Intelligence, IoT, Smart Cities & Application (ICAISC 2020), Jharkhand ,India

3 Pages Posted: 18 Sep 2020

See all articles by Dolly Kumari

Dolly Kumari

Department of Computer Science & Engineering, Chaibasa Engineering College, Jharkhand, India

Leena Mahato

Department of Computer Science & Engineering, Chaibasa Engineering College, Jharkhand, India

Golden Kumar

University of Texas at Dallas - Department of Mechanical Engineering

Goutam kumar

Department of Computer Science & Engineering, Chaibasa Engineering College, Jharkhand, India

Kumar Abhinab

Department of Computer Science & Engineering, Chaibasa Engineering College, Jharkhand, India

Jaydeep Kumar

Department of Computer Science & Engineering, Chaibasa Engineering College, Jharkhand, India

Pradip Acharjee

Department of Computer Science & Engineering, Chaibasa Engineering College, Jharkhand, India

Arijit Dutta

Department of Computer Science & Engineering, Chaibasa Engineering College, Jharkhand, India

Date Written: July 15, 2020

Abstract

Flooding is a natural phenomenon which has attracted global attention as a result of its negative impact on the society. The events of flooding are unlikely to change, however, its impact on our society can be very well reduced. This paper focuses on providing early warnings to areas likely to be ravaged by flood events using Wireless Sensor Network (WSN). The system involves the deployment of sensor nodes at specific flood vulnerable locations for real-time flood monitoring and detection. Flood events relating to flash flooding and run-off water or overflow are successfully monitored in real time which saves individuals plenty of time to prepare against predicted flood occurrence, saving them from the aftermath of flood disaster. The system was tested via simulation of different flood scenarios, and the outcome was efficient and accurate.

Keywords: Flood Monitoring, Node MCU ESP8266, Sensors, Internet of Things (IoT).

Suggested Citation

Kumari, Dolly and Mahato, Leena and Kumar, Golden and Kumar, Goutam and Abhinab, Kumar and Kumar, Jaydeep and Acharjee, Pradip and Dutta, Arijit, Study on IOT Based Early Flood Detection & Avoidance (July 15, 2020). International Conference on Recent Trends in Artificial Intelligence, IoT, Smart Cities & Application (ICAISC 2020), Jharkhand ,India, Available at SSRN: https://ssrn.com/abstract=3652362 or http://dx.doi.org/10.2139/ssrn.3652362

Dolly Kumari (Contact Author)

Department of Computer Science & Engineering, Chaibasa Engineering College, Jharkhand, India ( email )

Leena Mahato

Department of Computer Science & Engineering, Chaibasa Engineering College, Jharkhand, India ( email )

Golden Kumar

University of Texas at Dallas - Department of Mechanical Engineering ( email )

Richardson
United States

Goutam Kumar

Department of Computer Science & Engineering, Chaibasa Engineering College, Jharkhand, India ( email )

Kumar Abhinab

Department of Computer Science & Engineering, Chaibasa Engineering College, Jharkhand, India ( email )

Jaydeep Kumar

Department of Computer Science & Engineering, Chaibasa Engineering College, Jharkhand, India ( email )

Pradip Acharjee

Department of Computer Science & Engineering, Chaibasa Engineering College, Jharkhand, India ( email )

Arijit Dutta

Department of Computer Science & Engineering, Chaibasa Engineering College, Jharkhand, India ( email )

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