Long-Term Performance Studies of a LoRaWAN-Based PM2.5 Application on Campus

Shie-Yuan Wang, Ji Jhe Zou, Yo Ru Chen, Chun Chia Hsu, Yu Hsiang Cheng, Chia Hung Chang

研究成果: Conference contribution同行評審

14 引文 斯高帕斯(Scopus)

摘要

Recently, LoRa/LoRaWAN has been proposed as a promising LPWAN technology for Internet-of-Things (IoT) applications. For monitoring the long-term PM2.5 air quality on our campus, starting from February 1 2017, we have set up a LoRaWAN-based PM2.5 air quality monitoring system on our campus. In total, twenty-two PM2.5 sensor devices have been operating at the rooftop of buildings or on the lamp poles since then. Each of these PM2.5 sensor devices uses a LoRaWAN module to send its most recent PM2.5 value to the LoRaWAN gateway every 72 seconds. After being received successfully by the LoRaWAN gateway, the packets carrying these values were stored into a database with their SNR/RSSI information. With the sequence numbers added by our PM2.5 application running on each device, the packets stored in the database provide many important information about the long-term packet loss rate performance of LoRaWAN on campus. In this paper, we process these data to report real long-term performance of LoRaWAN when used on campus.

原文English
主出版物標題2018 IEEE 87th Vehicular Technology Conference, VTC Spring 2018 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁面1-5
頁數5
ISBN(電子)9781538663554
DOIs
出版狀態Published - 20 7月 2018
事件87th IEEE Vehicular Technology Conference, VTC Spring 2018 - Porto, Portugal
持續時間: 3 6月 20186 6月 2018

出版系列

名字IEEE Vehicular Technology Conference
2018-June
ISSN(列印)1550-2252

Conference

Conference87th IEEE Vehicular Technology Conference, VTC Spring 2018
國家/地區Portugal
城市Porto
期間3/06/186/06/18

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