Authors :
Navya Shree J.; N. Sumukhan; Kubendra R.; Namith E.; Raghavendra Nucchi
Volume/Issue :
Volume 11 - 2026, Issue 10 - October
Google Scholar :
https://tinyurl.com/mtk7edvm
DOI :
https://doi.org/10.38124/ijisrt/26Oct1042
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working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and
ResearchGate.
Abstract :
The project develops a low-cost, multi-parametric atmospheric monitoring system to address spatial variations in air quality that single-point centralized systems miss. The solution uses a wireless mesh network of distributed ESP32 microcontrollers integrated with BME680 and MQ135 sensors. The technology stack includes C/C++ embedded software, ESP-MESH networking, and a Python-based desktop monitoring application with an interactive Tkinter graphical interface. The system successfully reduces dependence on centralized infrastructure by enabling multi-hop self-healing communication. Quantitative achievements include real-time aggregation of temperature, relative humidity, atmospheric pressure, and Indoor Air Quality (IAQ) indexes with minimal latency. The implementation of full-stack data routing ensures reliable sensor telemetry is continuously parsed and visualized.
Keywords :
ESP32, ESP-MESH, BME680, BSEC, Indoor Air Quality, MQ135, Wireless Sensor Network.
References :
- J. Rosa-Bilbao, F. Sajid Butt, D. Merkl, M. F. Wagner, J. Schäfer, and J. Boubeta-Puig, "IoT-based indoor air quality management system for intelligent education environments," IEEE Internet of Things Journal, vol. 12, no. 11, pp. 18031–18041, June 2025.
- S. P. Pathak et al., "A low-cost IoT-based real-time air quality monitoring system using multi-sensor integration and Bluetooth communication," 2025.
- S. Banerjee et al., "Smart indoor air quality monitoring device with automated threshold-based control," 2025.
- D. Devasena et al., "IoT-based smart air quality monitoring in vehicles," 2025.
- Bosch Sensortec, "BME680 Low Power Gas, Pressure, Temperature & Humidity Sensor Datasheet," 2023.
- Espressif Systems, "ESP-MESH Programming Guide," 2024.
The project develops a low-cost, multi-parametric atmospheric monitoring system to address spatial variations in air quality that single-point centralized systems miss. The solution uses a wireless mesh network of distributed ESP32 microcontrollers integrated with BME680 and MQ135 sensors. The technology stack includes C/C++ embedded software, ESP-MESH networking, and a Python-based desktop monitoring application with an interactive Tkinter graphical interface. The system successfully reduces dependence on centralized infrastructure by enabling multi-hop self-healing communication. Quantitative achievements include real-time aggregation of temperature, relative humidity, atmospheric pressure, and Indoor Air Quality (IAQ) indexes with minimal latency. The implementation of full-stack data routing ensures reliable sensor telemetry is continuously parsed and visualized.
Keywords :
ESP32, ESP-MESH, BME680, BSEC, Indoor Air Quality, MQ135, Wireless Sensor Network.
