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LoRa variability project

The objectives and learning outcomes of the project are defined at http://applications.umons.ac.be/web/en/pde/2018-2019/ue/UI-M1-IRELEC-104-M.htm. The information hereunder doesn't replace or modify them in anyway.

Main objective

In order to design a LoRaWAN network, a civil engineer must know which factors influence LoRa transmissions and which don't. The objective of this project is to list these influencing factors and to prioritize them.

Expected outcomes

  • Describe the elements implied in a LoRaWAN transmissions.
  • Describe the configuration parameters of LoRaWAN (spreading factor, channel, ...).
  • Demonstrate a LoRaWAN transmission by building a simple object that sends an information periodically over LoRaWAN.
  • Deploy many of these objects on a city scale.
  • Collect LoRaWAN transmission data and display them over time on a real-time dashboard.
  • Collect data about influencing factors from other sources (meteo, pollution, ...) and add them to the LoRaWAN transmission dashboard.
  • Store collected data and make them easily available for data analysis.
  • Determine the top X factors influencing the LoRaWAN transmission and present these influences graphically.
  • Analyze the collected metrics and their precision.
  • Adapt the emitting object and the data collection process to improve the analysis.
  • Write a scientific article, following the IEEE article template, that summarizes the project and its findings.
  • Present a spoken summary of the project and its findings.

Journal

Documentation