Performance of LoRa-based IoT applications on campus

Shie-Yuan Wang, Yo Ru Chen, Tzu Yang Chen, Chia Hung Chang, Yu Hsiang Cheng, Chun Chia Hsu, Yi-Bing Lin

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

24 Scopus citations

Abstract

To promote smart campus, National Chiao Tung University is deploying several location-based IoT applications based on wireless communications technologies including LoRa and NB-IoT. The applications are indoor/outdoor environment conditions monitoring (such as PM2.5, temperature, and humidity), emergency buttons, and so on. This paper uses PM2.5 measurement application as an example to present the performance of LoRa when it is used on campus. We investigated the LoRa transmission performance from LoRa end-devices to the LoRa gateway. We show how packet losses were affected by the distance between the end-device and the gateway, the transmit power, the payload length, the antenna angle, the time of day, and the weather conditions. The pattern of LoRa packet losses were also measured and we found that in our long-term PM2.5 monitoring application, more than 99% of LoRa packet losses occurred with three or less consecutive packet losses.

Original languageEnglish
Title of host publication2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781509059355
DOIs
StatePublished - 8 Feb 2018
Event86th IEEE Vehicular Technology Conference, VTC Fall 2017 - Toronto, Canada
Duration: 24 Sep 201727 Sep 2017

Publication series

NameIEEE Vehicular Technology Conference
Volume2017-September
ISSN (Print)1550-2252

Conference

Conference86th IEEE Vehicular Technology Conference, VTC Fall 2017
CountryCanada
CityToronto
Period24/09/1727/09/17

Keywords

  • Internet of Things
  • LoRa
  • PM2.5
  • Packet loss

Fingerprint Dive into the research topics of 'Performance of LoRa-based IoT applications on campus'. Together they form a unique fingerprint.

Cite this