Empirical propagation performance evaluation of LoRa for indoor environment

Research output: Chapter in Book/Report/Conference proceedingConference contribution

54 Citations (Scopus)

Abstract

Wireless sensors are increasingly being used for smart Buildings. LoRa is a chirp spread spectrum (CSS) technology. Its CSS modulation provides wide bandwidth, increased processing gain and higher receiver sensitivity. Propagation analysis of this long-range low power wireless platform is essential to make it a prevailing technology of choice for IoT. This paper empirically evaluates the indoor propagation performance of LoRa. The practical measurements were critically analyzed against four propagation models; ITU site generic, log-distance, multi-wall and 3D ray tracing. Data was collected in the Hanover building at Glasgow Caledonian University using the LoRa transceivers. The aims of this research were (1) to assess the indoor propagation performance of LoRa technology and (2) to identify the model that best describes the indoor propagation of LoRa. The study concluded that multi-wall has the best overall performance amongst the models. This research work will facilitate the link budget design, network implementation and coverage diagnosis in similar indoor scenarios.
Original languageEnglish
Title of host publication2017 IEEE 15th International Conference on Industrial Informatics (INDIN)
PublisherIEEE
Pages26-31
Number of pages6
ISBN (Electronic)9781538608371
ISBN (Print)9781538608388
DOIs
Publication statusPublished - 13 Nov 2017
Event2017 IEEE 15th International Conference on Industrial Informatics (INDIN) - University of Applied Sciences Emden/Leer, Emden, Germany
Duration: 24 Jul 201726 Jul 2017

Publication series

NameIEEE International Conference on Industrial Informatics (INDIN)
PublisherIEEE
ISSN (Electronic)2378-363X

Conference

Conference2017 IEEE 15th International Conference on Industrial Informatics (INDIN)
Country/TerritoryGermany
CityEmden
Period24/07/1726/07/17

Keywords

  • propagation performance
  • wireless sensors
  • LoRa propagation
  • log-distance model
  • ITU model
  • LPWAN
  • COST231 model
  • indoor propagation estimation
  • 3D ray-tracing model
  • Motley-Keenan model
  • Internet of Things (loT)

ASJC Scopus subject areas

  • Information Systems and Management
  • Artificial Intelligence
  • Control and Optimization
  • Education
  • Human-Computer Interaction
  • Hardware and Architecture
  • Industrial and Manufacturing Engineering
  • Computer Networks and Communications

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