Title: Compact Design of Multi-tier Computing IoT Trainer Kit for Sensors and Power System Applications.


Authors:

PREMA RAM

prdhaka96@gmail.com
Yagyavalkya Institute of Technology Jaipur

Pages: 42-45

DOI:

Abstract:

In order to improve hands-on learning in IoT systems for educational purposes, this article outlines the design and development of a modular IoT trainer kit that integrates three popular microcontroller and microprocessor platforms: the Arduino UNO, ESP32, and Raspberry Pi. A motor driver module for actuation and several sensors, including motion, temperature, humidity, and gas detectors, are included in the kit to provide practical experience of sensing, communication, and control in real-time settings. These three platforms, namely Raspberry Pi, ESP32, and Arduino UNO, enable wireless data transmission via WiFi/BLE, an interface for sensor data collection, and motor control. Managing data gathering and visualization via a local web interface and optional cloud integration for distant monitoring, the Raspberry Pi serves as a central gateway. This kit gives experience in IoT application development, communication protocols (UART, I2C, and MQTT), and heterogeneous system design using this multi-board architecture. Initial tests show how well the kit replicates actual Internet of Things situations, promoting a better comprehension of edge computing, distributed sensing, and system integration. The designed trainer kit provides educators with an affordable, adaptable, and scalable platform to connect theoretical ideas with real-world IoT education abilities.

Keywords: