IoT and Machine Learning-Based System for Predicting, Monitoring and Controlling Indoor Air Quality

Kovacs, Balázs; Rusu-Both, Roxana

doi:10.1109/aqtr61889.2024.10554278

2024 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR) 2024

DOI: 10.1109/aqtr61889.2024.10554278

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IoT and Machine Learning-Based System for Predicting, Monitoring and Controlling Indoor Air Quality

Balázs Kovacs,

Roxana Rusu-Both

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Use of wireless technologies in IoT projects

Vakaliuk,

Andreiev,

Dubyna

et al. 2024

J. Edge Comp.

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When it comes to creating projects based on the use of the Internet of Things (IoT), wireless sensor networks are often used. Edge computing in IoT technology reduces system response delays to sensor output signals and increases the network throughput. At the same time, a short-range sensor network can work locally without access to the Internet, while long-range networks, as a rule, require access to the Internet and use both edge and cloud computing. The paper shows the features of the application of both peripheral and cloud computing in the practical implementation of IoT projects with various methods of wireless data transmission. Specific examples show the possibility of data transmission over a short distance using ESP-NOW technology, nRF24L01 radio modules and creating a local Wi-Fi access point. The range of sensor data transmission between microcontrollers is practically determined for each proposed option. The calculation of the range of the LoRa radio line is carried out for the actual sensitivity values of the receiver. The Okamura-Hata radio wave propagation model is proposed to estimate the LoRa radio line’s total loss. The operational range of LoRa modules with different types of signal modulation is practically determined. The essence of edge computing combined with digital and analogue sensors is shown. Peculiarities of peripheral computing during the implementation of IoT projects for remote control of blood saturation of patients using wireless technologies are considered. An example of data transmission of the air quality control system through a gateway based on an ESP8266 microcontroller with a graphical display of measurements in the IoT cloud service ThingSpeak and Blynk was provided.

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Use of wireless technologies in IoT projects

Vakaliuk,

Andreiev,

Dubyna

et al. 2024

J. Edge Comp.

View full text Add to dashboard Cite

show abstract

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IoT and Machine Learning-Based System for Predicting, Monitoring and Controlling Indoor Air Quality

Cited by 1 publication

References 10 publications

Use of wireless technologies in IoT projects

Use of wireless technologies in IoT projects

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