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@article{188106,
        author = {Siddhi Avinash Patil and M.S.Patil and Shraddha Wadkar and Swapnil  Patil},
        title = {Design and Implementation of an IoT-Enabled Wireless Sensor Network for Real-Time Flood Detection and Alerting},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {493-499},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=188106},
        abstract = {Floods pose a serious and increasing threat. Immediate, real-time information is the most valuable tool for protecting communities. To address this need, our project outlines the creation of a real-time, IoT-based flood detection system. The proposed model employs a dual-sensor approach to gain a complete and accurate understanding of flood risk. We use an ultrasonic sensor (HC-SR04) to constantly measure the water level, tracking its rise and fall. At the same time, a water flow sensor (YF-S201) measures how fast the water moves a key detail that level-only sensors overlook. This data goes to an STM32 microcontroller, which acts as the system's "brain," processing the information. A dedicated Wi-Fi module (ESP8266) then transmits the data wirelessly to a cloud dashboard. This enables users and local authorities to see real-time water levels and flow rates displayed in a clear graphical format. By using a low-cost, scalable, and dependable two-chip design (STM32 for processing, ESP8266 for communication), our method provides an efficient and accessible flood monitoring solution, ideally suited for the rural and semi-urban areas that need it most.},
        keywords = {Sensor Networks, IOT, Dashboard, real time monitoring, Wi-Fi},
        month = {December},
        }