<i>LevelWAN</i>: a cost-effective, open-source IoT system for water level monitoring in highly dynamic aquatic environments.

This project shows how to build an open‑source, low‑cost Internet of Things (IoT) system that measures water level in fast‑changing rivers, lakes, or reservoirs in real time. Typical water‑level monitors are expensive, use closed‑source hardware, and do not adapt well to turbulent or rapidly shifting water. Our design solves those problems by using a low‑power wide‑area network (LPWAN) – specifically LoRaWAN – for long‑range, low‑energy communication. **Hardware layout** – An ultra‑low‑power microcontroller that runs the whole system. – A sturdy ultrasonic sensor **or** a hydrostatic pressure sensor to sense the water height. – A dedicated telemetry module that sends the measurements over LoRaWAN. The system also runs a small filtering

algorithm on the device itself. This algorithm removes noise caused by surface waves and other rapid environmental changes, so the data is cleaner before it is sent. **Software and data handling** The received data are processed and displayed on an open‑source dashboard. The dashboard lets users watch water‑level trends continuously and can trigger early flood warnings. **What this guide offers** – Detailed instructions for assembling the hardware. – Step‑by‑step calibration procedures. – Guidance on wiring, programming, and testing the prototype. Because all hardware and software are open source, the setup can be scaled up or down easily. It is a practical solution for campus‑level hydrology research, local water‑resource studies, or

small‑scale municipal monitoring. The guide is written for undergraduate engineering students who want to build a working prototype from scratch.

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