ARCHIVES

Original Article

Low Cost Sensor Networks for Air Quality Tracking on University Campuses

Shalini Ranjan1 Karmanya Singh Ravindra2 Suhas G J3 Divya4
1Assistant Professor, Department of Computer Science and Design, Dayananda Sagar Institutions, Bengaluru, Karnataka, India. 2344th year students, Department of Computer Science and Design, Dayananda Sagar Institutions, Bengaluru, Karnataka, India.

Published Online: May-August 2025

Pages: 84-90

Abstract

This paper presents the implementation of a low-cost IoT-based air quality monitoring system designed for DSATM campus in Bengaluru. The system integrates ESP8266 Node MCU, MQ135 gas sensors, and DHT11 temperature/humidity sensors to measure pollutants (PM2.5, CO, NO₂) and environmental parameters. Data is transmitted to the Arduino IoT Cloud for real-time visualization, enabling proactive health interventions and environmental management. Field tests demonstrate the system's ability to capture PM2.5 levels averaging 65–85 μg/m³ during peak hours, with a deployment cost of ₹3.8 lakhs for campuswide coverage. The modular design supports scalability, making it suitable for large-scale deployments across academic institutions and urban environments.

Related Articles

2025

Transforming Cyber-Physical Systems: Machine Learning for Secure and Efficient Solutions

2025

Exploring AI Techniques for Quantum Threat Detection and Prevention

2025

Maturity Models for Business Intelligence: An Overview

2025

INSPIRO: An AI Driven Institution Auditor

2025

Adaptive AI Framework for Anomaly Detection and DDoS Mitigation in Distributed Systems

2025

Predictive Modeling for College Admission Using Machine Learning and Statistical Methods

Share Article

X
LinkedIn
Facebook
WhatsApp

Or copy link

https://test.indjcst.com/archives/10.59256/indjcst.20250402008

*Instagram doesn't support direct link sharing from web. Copy the link and share it in your Instagram story or post.