Design and Implementation of an ESP8266-Based IoT System for Real-Time Classroom Environmental Monitoring
Abstract
This paper presents the design and validation of an Internet-of-Things (IoT) architecture for real-time monitoring of classroom environmental conditions. Centered on a Wi-Fi–enabled embedded node (ESP8266) and a lightweight edge-to-cloud pipeline, the system acquires, transmits, and visualizes multivariate sensor data through a MATLAB-based virtual instrument. The approach emphasizes low-cost components, minimal power and code footprint, and a modular interface that supports rapid reconfiguration of sensing channels and alert logic. A proof-of-concept deployment in representative classroom scenarios demonstrates reliable telemetry, stable user interaction, and actionable feedback for indoor comfort and safety management. The results indicate that the proposed stack offers a practical pathway for scalable educational IoT, bridging physical sensing and data-driven decision support while remaining accessible for laboratory, pilot, and instructional use.
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