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A Survey on Flood Alert System Using IoT

Prajkta Mohan Ingale, Mayuri Ravindra Mohod, Pallavi Uddhav Wable, Zarina Shaikh


Dam overflows are a constant threat throughout the year to the India. There are various methods of alerts available; such as the Emergency Broadcast System can alert a user remotely in an efficient and timely manner. The system goal of project is to provide a real- time system able to monitor sudden overflows in dam lots, addressing the concern of water damage to vehicles; creating a personal alert that could reach an end user through their mobile phone using GSM. In this case, the system defines two types of nodes sensing node and sink node. Each sensing node uses a float sensor to monitor the water levels; it will then communicate with neighboring nodes. The sink node is then responsible for sending the received data from the sensors to a control server via mobile communication network using Global System for Mobiles. Database of users which is stored on cloud and flood levels will then be processed and handled by the server, which will send users an email alert that will reach any mobile phone as a text message (SMS). India has agriculture as its primary occupation. In India of the people living in rural areas in India are dependent on agriculture. This calls for planning and strategies to use water sensibly by utilizing the advancements in science and technology. The food production needs to be increased by at least 50% for the projected population growth. Agriculture accounts for 85% of freshwater consumption globally. This leads to the water availability problem and thus calls for a sincere effort in sustainable water usage. There are many systems to save water in various crops, from basic ones to more technologically advanced ones.


Water level controlling, android application, soil moisture detection, population, floods

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Su H, Li J, Guo Z, et al. Nonprobabilistic Reliability Evaluation for In-Service Gravity Dam Undergoing Structural Reinforcement. IEEE Transactions on Reliability. 2018; 67(3):970–86.

Singh P, Saikia S. Arduino-based smart irrigation using water flow sensor, soil moisture sensor, temperature sensor and ESP8266 WiFi module. In2016 IEEE Region 10 Humanitarian Technology

Conference (R10-HTC). IEEE. 2016; 1–4.

Goswami MP, Montazer B, Sarma U. Design and characterization of a fringing field capacitive soil moisture sensor. IEEE Transactions on Instrumentation and Measurement. 2018; 68(3):913–22.

Mohod N. Usability of internet of things [IOT] for dam safety and water management. International Journal of Research in Advent Technology. 2017; 5(1):29–30.

Khetre AC, Hate SG. Automatic monitoring & reporting of water quality by using WSN technology and different routing methods. International Journal of Advanced Research in Computer Engineering & Technology. 2013; 2(12):3255–60.

Khan AA, Abdel-Gawad S, Khan H. A real time water quality monitoring network and water quality indices for River Nile. In13th IWRA world water congress 2008; 1–4.

Reza SK, Tariq SA, Reza SM. Microcontroller based automated water level sensing and controlling: design and implementation issue. In Proceedings of the world congress on engineering and computer science 2010; 1:20–22.

Suciu G, Vintea A, Arseni SC. et al. Challenges and solutions for advanced sensing of water infrastructures in urban environments. In2015 IEEE 21st International Symposium for Design and Technology in Electronic Packaging (SIITME). IEEE. 2015; 349–352.

Viswanath S, Belcastro M, Barton J. et al. Low-power wireless liquid monitoring system using ultrasonic sensors. International Journal on Smart Sensing & Intelligent Systems. 2015;8(1).

Siddula SS, Babu P, Jain PC. Water level monitoring and management of dams using IoT. IEEE. 2018; 1–5.

Alliance L. LoRa WAN 1.1 Specification. technical specification. 2017.



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