| Title |
Smart Air Quality Monitoring System with LoRaWAN |
| ID_Doc |
42371 |
| Authors |
Thu, MY; Htun, W; Aung, YL; Shwe, PEE; Tun, NM |
| Title |
Smart Air Quality Monitoring System with LoRaWAN |
| Year |
2018 |
| Published |
|
| DOI |
|
| Abstract |
Nowadays, cities all over the globe are transforming into smart cities. Smart cities initiatives need to address environmental concerns such as air pollution to provide clean air. A scalable and cost-effective air monitoring system is imperative to monitor and control air pollution for smart city development. Air pollution has notable effects on the well-being of the population a whole, global atmosphere, and worldwide economy. This paper presents a scalable smart air quality monitoring system with low-cost sensors and long-range communication protocol. The sensors collect four parameters, temperature, humidity, dust and carbon dioxide in the air. The proposed end-to-end system has been implemented and deployed in Yangon, the business capital of Myanmar, as a case study since Jun 2018. The system allows the users to log in to an online dashboard to monitor the real-time status. In addition, based the collected air quality parameters for the past two months, a machine learning model has been trained to make predictions of parameters such that proactive actions can be taken to alleviate the impacts from air pollution. |
| Author Keywords |
Internet of Things; IoT Platform; Smart City; Telaire Sensors; The Things Uno; The Things Network; LoRaWAN; Machine Learning |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000463172200003 |
| WoS Category |
Computer Science, Information Systems; Telecommunications |
| Research Area |
Computer Science; Telecommunications |
| PDF |
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