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

Authors

Keywords:

IoT, Smart Campus, Air Quality, RTOS

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.

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Author Biographies

Elton Alves, Universidade Federal do Sul e Sudeste do Pará

Elton Alves was born in Brazil. He holds a degree in Computer Engineering from the Federal University of Pará and a PhD in Electrical Engineering (Energy Systems) from the Federal University of Pará. He is currently an adjunct professor at the Federal University of Southern and Southeastern Pará. His areas of interest include: Artificial Intelligence, Machine Learning, Embedded Systems and Atmospheric Discharges.

Noedson Silva, Universidade Federal do Sul e Sudeste do Pará

Noedson Silva was born in Brazil. He is an undergraduate student at the Federal University of Southern and Southeastern Pará. His interests include: internet of things and embedded systems.

Warley Júnior, Universidade Federal do Sul e Sudeste do Pará

Warley Junior was born in Brazil. He received his Ph.D. in Computer Science from the Federal University of Pernambuco, Recife-Brazil, in 2018. He is currently an adjunct professor at the Federal University of Southern and Southeastern Pará. His current research interests are: Software Defined Networks, Mobile Edge Computing, Fog Computing, Mobile Cloud Computing, and Machine Learning.

Alife Moraes, Universidade Federal do Sul e Sudeste do Pará

Alife Moraes was born in Brazil. He is an undergraduate student at the Federal University of South-East Para. His interests include programming and software development, with a focus on creating practical applications using technologies such as Python, JavaScript, and various frameworks for web and graphical user interface (GUI) development.

Nandson Silva, Universidade Federal do Sul e Sudeste do Pará

Nandson Silva was born in Brazil. He is an undergraduate student at the Federal University of Southern and Southeastern Para. His interests include: machine learning and backend development.

Andson Balieiro, Universidade Federal de Pernambuco

Andson Balieiro was born in Brazil. He received his Ph.D. in Computer Science in 2015 from the Federal University of Pernambuco (UFPE), Brazil. He is currently a professor at the Center for Informatics (CIn) of UFPE. He has worked on R&D projects funded by companies (e.g., Morotola Mobility and Ericsson) and government institutions (e.g., National Council for Scientific and Technological Development-CNPQ). He won the FET Best Paper award at the 31st Wireless and Optical Communications Conference (WOCC). His research interests include ultra-reliable and low-latency communications, 5G/6G networks and their key enablers such as cognitive radio, network slicing, network function virtualization, multiple-access edge computing and software-defined networking, as well as machine learning applications.

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Published

2025-03-07

How to Cite

Alves, E., Silva, N. ., Júnior, W., Moraes, A. ., Silva, N. ., & Balieiro, A. . (2025). FreeRTOS Application in a Real-Time Air Quality Monitoring Architecture for Smart Campus. IEEE Latin America Transactions, 23(4), 266–273. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/9391

Issue

Vol. 23 No. 4 (2025): Ordinary Issue

Section

Computing