FreeRTOS Application in a Real-Time Air Quality Monitoring Architecture for Smart Campus

Monitoring air quality in smart campuses is essential for safeguarding the health of the academic community, as air pollution in university environments can lead to respiratory and cardiac issues. While the Internet of Things (IoT) offers a suitable solution for monitoring and notifying about air quality in smart campuses, it is of paramount importance that these notifications occur in real-time to ensure information reaches users with minimal latency. This paper presents an architecture for collecting, storing, and notifying about atmospheric pollutants in a smart campus and analyzes the use of Real-Time Operating Systems (RTOS) for managing the system. The evaluation focuses on IoT technologies, represented by the end node, gateway, and cloud server. The experimental results show that using RTOS reduces the average transmission interval by 37.5% and achieves higher transmission and reception throughput compared to non-real-time operating systems. For instance, in a monitored location, the transmission and reception throughput reached approximately 178.23 and 164.18 with RTOS, compared to 110.97 and 99.41 without RTOS, respectively.

Authors

Institutions

Publication Details

Journal
IEEE Latin America Transactions
Published
2025-03-17
DOI
https://doi.org/10.1109/tla.2025.10930347
Citations
4
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
Field-Weighted Citation Impact
3.20
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

FreeRTOS Application in a Real-Time Air Quality Monitoring Architecture for Smart Campus

Andson Balieiro, Warley Júnior, Elton Alves, N.L.C. Silva et al.
4 citations
IEEE Latin America Transactions
Air Quality Monitoring and Forecasting
3.20
article

FreeRTOS Application in a Real-Time Air Quality Monitoring Architecture for Smart Campus

Andson Balieiro, Warley Júnior, Elton Alves, N.L.C. Silva, N. L. C. Silva, Alife Moraes
article en
4 citations

Abstract

Monitoring air quality in smart campuses is essential for safeguarding the health of the academic community, as air pollution in university environments can lead to respiratory and cardiac issues. While the Internet of Things (IoT) offers a suitable solution for monitoring and notifying about air quality in smart campuses, it is of paramount importance that these notifications occur in real-time to ensure information reaches users with minimal latency. This paper presents an architecture for collecting, storing, and notifying about atmospheric pollutants in a smart campus and analyzes the use of Real-Time Operating Systems (RTOS) for managing the system. The evaluation focuses on IoT technologies, represented by the end node, gateway, and cloud server. The experimental results show that using RTOS reduces the average transmission interval by 37.5% and achieves higher transmission and reception throughput compared to non-real-time operating systems. For instance, in a monitored location, the transmission and reception throughput reached approximately 178.23 and 164.18 with RTOS, compared to 110.97 and 99.41 without RTOS, respectively.

IEEE Latin America TransactionsVol. 23(4)
Universidade Federal de Pernambuco (BR), Universidade Federal do Sul e Sudeste do Pará (BR)
Industry, innovation and infrastructure
Openalex Percentile: Top 10%
Air Quality Monitoring and Forecasting
3.20
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

FreeRTOS Application in a Real-Time Air Quality Monitoring Architecture for Smart Campus — Andson Balieiro, Warley Júnior, et al. · IEEE Latin America Transactions (2025) | TGRS Research Map | TGRS