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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations


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.

Original languageEnglish
Title of host publication2018 IEEE 87th Vehicular Technology Conference, VTC Spring 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)9781538663554
StatePublished - 20 Jul 2018
Event87th IEEE Vehicular Technology Conference, VTC Spring 2018 - Porto, Portugal
Duration: 3 Jun 20186 Jun 2018

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252


Conference87th IEEE Vehicular Technology Conference, VTC Spring 2018


  • LoRa
  • LoRaWAN

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