Multi-Parametric Atmosphere Monitoring Using Mesh Network

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.

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Publication Details

Journal
International Journal of Innovative Science and Research Technology (IJISRT)
Published
2026-10-26
DOI
https://doi.org/10.38124/ijisrt/26oct1042
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
Field-Weighted Citation Impact
0.00
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article

Multi-Parametric Atmosphere Monitoring Using Mesh Network

Raghavendra Nucchi, Namith E., N. Sumukhan, Kubendra R. et al.
International Journal of Innovative Science and Research Technology (IJISRT)
Air Quality Monitoring and Forecasting
article

Multi-Parametric Atmosphere Monitoring Using Mesh Network

Raghavendra Nucchi, Namith E., N. Sumukhan, Kubendra R., Navya Shree J.
article en

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.

International Journal of Innovative Science and Research Technology (IJISRT)Vol. 11(10)
East West Institute of Technology (IN)
Openalex Percentile: Top 22%
Air Quality Monitoring and Forecasting
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