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Comparative Analysis of Discrete Time Simulations and Stochastic Geometry Models of a Single Gateway LoRaWAN Network

  • Bruno Citoni
  • , Shuja Ansari
  • , Qammer Hussain Abbasi
  • , Muhammad Ali Imran
  • , Sajjad Hussain
  • University of Glasgow

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Both stochastic geometry and discrete-time simulations are useful ways to analyse otherwise unfeasible large-scale LoRaWAN networks. Currently, very limited research has been performed on assessing how the two methods compare in terms of their results when modelling the same scenario. In this study, such a comparison is performed by replicating via discrete time simulations performed with NS-3 a common result from stochastic analysis of a single gateway network. Results of the comparison show how the two methods are for the most part equivalent and thus they are both equally employable in future research. However, attention needs to be paid to the subtle differences that are characteristic of the two different methods and can give rise to discrepancies in results.

Original languageEnglish
Title of host publicationProceedings - 5th IEEE International Conference on Smart Internet of Things, SmartIoT 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages8-12
Number of pages5
ISBN (Electronic)9781665445115
DOIs
StatePublished - 2021
Externally publishedYes
Event5th IEEE International Conference on Smart Internet of Things, SmartIoT 2021 - Virtual, Online, Korea, Republic of
Duration: 13 Aug 2021 → 15 Aug 2021

Publication series

NameProceedings - 5th IEEE International Conference on Smart Internet of Things, SmartIoT 2021

Conference

Conference5th IEEE International Conference on Smart Internet of Things, SmartIoT 2021
Country/TerritoryKorea, Republic of
CityVirtual, Online
Period13/08/21 → 15/08/21

Keywords

  • IoT
  • LoRaWAN
  • NS3
  • Stochastic geometry

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