Development of IoT Technologies for Air Pollution Prevention and Improvement

In order to mitigate the challenges of air pollution, a large number of Internet of Things (IoT)-related technologies have been developed to evaluate and monitor various parameters of air quality. Hence, this paper reviews the fundamental characteristics of IoT; compares and analyzes radio frequency...

Full description

Saved in:
Bibliographic Details
Published in:Aerosol and Air Quality Research 2020-12, Vol.20 (12), p.2874-2888
Main Authors: Zhao, Yu-Lin, Tang, Jiali, Huang, Han-Pang, Wang, Ze, Chen, Tse-Lun, Chiang, Chih-Wei, Chiang, Pen-Chi
Format: Article
Language:English
Subjects:
Air monitoring
Air pollution
Air pollution control
Air quality
Carbon monoxide
Cellular telephones
Chronic obstructive pulmonary disease
Cloud computing
Communication
Decision making
Environmental monitoring
Environmental protection
Frequency analysis
Indoor air quality
Internet of Things
Monitoring systems
Outdoor air quality
Pollutants
Pollution abatement
Pollution monitoring
Pollution prevention
Quality management
Radio frequency identification
Sensors
Servers
Time management
VOCs
Volatile organic compounds
Wireless access points
Wireless networks
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In order to mitigate the challenges of air pollution, a large number of Internet of Things (IoT)-related technologies have been developed to evaluate and monitor various parameters of air quality. Hence, this paper reviews the fundamental characteristics of IoT; compares and analyzes radio frequency identification (RFID), M2M, and sensor networks; and accordingly proposes an intelligent and multifunctional monitoring platform for reducing air pollution. Our results indicate that establishing systems for comprehensive network communication, cloud-based decision making, information tracking, and online management based on these technologies will improve the ambient air quality more efficiently. Furthermore, we examine several cases verifying the availability and performance of IoT ambient air quality management platforms.
ISSN:1680-8584
2071-1409
DOI:10.4209/aaqr.2020.05.0255