Development and Verification of an IoT-enabled Air Quality Monitoring System Based on Petri Nets

An internet of things (IoT) system for monitoring environmental parameters on campus has been successfully developed in this study. Various sensors are adopted in front of the IoT system for detecting air pollutants. The architecture of LongRange in Class C uses low-power and long-distance transmiss...

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Bibliographic Details
Published in:Wireless personal communications 2023-07, Vol.131 (1), p.63-87
Main Authors: Lin, Yi-Nan, Wang, Sheng-Kuan, Chiou, Gwo-Jen, Yang, Cheng-Ying, Shen, Victor R. L., Su, Zhi Yang
Format: Article
Language:English
Subjects:
Air monitoring
Air quality
Communications Engineering
Computer Communication Networks
Data transmission
Engineering
Internet of Things
Monitoring systems
Network latency
Networks
Parameters
Petri nets
Signal,Image and Speech Processing
Software
Verification
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Summary:An internet of things (IoT) system for monitoring environmental parameters on campus has been successfully developed in this study. Various sensors are adopted in front of the IoT system for detecting air pollutants. The architecture of LongRange in Class C uses low-power and long-distance transmission technologies, which has been set up on the large campus so that the terminal equipment can reach a balance between downlink latency and battery life, making it the best communication protocol. In addition, this monitoring system uses the Petri net software tool to build a correct IoT platform based on the fundamental design process and to demonstrate the feasibility of the IoT system through simulation-based verification. Finally, the experimental results indicate that the IoT system for monitoring the environmental parameters on campus achieves the goal of an acceptable data transmission success rate of more than 95%. Thus, it can facilitate the air quality trends for policy making as well as the hazardous prediction and prevention.
ISSN:0929-6212
1572-834X
DOI:10.1007/s11277-023-10416-1