Measurement, Characterization, and Modeling of LoRa Technology in Multifloor Buildings

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

3 Scopus Citations
View graph of relations

Author(s)

  • Jun Young Kim
  • Walter Huang
  • Salil S. Kanhere
  • Sanjay K. Jha
  • Wen Hu

Detail(s)

Original languageEnglish
Article number8865092
Pages (from-to)298-310
Journal / PublicationIEEE Internet of Things Journal
Volume7
Issue number1
Online published11 Oct 2019
Publication statusPublished - 1 Jan 2020
Externally publishedYes

Abstract

In recent years, we have witnessed the rapid development of the long range (LoRa) technology, together with extensive studies trying to understand its performance in various application settings. In contrast to measurements performed in large outdoor areas, a limited number of attempts have been made to understand the characterization and performance of the LoRa technology in indoor environments. In this article, we present a comprehensive study of the LoRa technology in multifloor buildings. Specifically, we investigate the large-scale fading characteristic, temporal fading characteristic, coverage, and energy consumption of the LoRa technology in four different types of buildings. Moreover, we find that the energy consumption using different parameter settings can vary up to 145 times. These results indicate the importance of parameter selection and enabling the LoRa adaptive data rate feature in energy-limited applications. We hope the results in this article can help both academia and industry understand the performance of the LoRa technology in multifloor buildings to facilitate developing practical indoor applications. © 2014 IEEE.

Research Area(s)

  • Field study, indoor propagation, long range (LoRa), smart building, temporal fading (TF)

Citation Format(s)

Measurement, Characterization, and Modeling of LoRa Technology in Multifloor Buildings. / Xu, Weitao; Kim, Jun Young; Huang, Walter; Kanhere, Salil S.; Jha, Sanjay K.; Hu, Wen.

In: IEEE Internet of Things Journal, Vol. 7, No. 1, 8865092, 01.01.2020, p. 298-310.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal