Comparative analysis of discrete time simulations and stochastic geometry models of a single gateway LoRaWAN network

Citoni, B., Ansari, S. , Abbasi, Q. H. , Imran, M. A. and Hussain, S. (2021) Comparative analysis of discrete time simulations and stochastic geometry models of a single gateway LoRaWAN network. In: IEEE SmartIoT 2021, 13-15 Aug 2021, pp. 8-12. ISBN 9781665445115 (doi: 10.1109/SmartIoT52359.2021.00011)

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Abstract

Both stochastic geometry and discrete-time simulations are useful ways to analyse otherwise unfeasible largescale 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.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Ansari, Dr Shuja and Abbasi, Dr Qammer and Imran, Professor Muhammad and Hussain, Dr Sajjad and Citoni, Mr Bruno
Authors: Citoni, B., Ansari, S., Abbasi, Q. H., Imran, M. A., and Hussain, S.
College/School:College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
College of Science and Engineering > School of Engineering > Systems Power and Energy
ISBN:9781665445115
Copyright Holders:Copyright © 2021 IEEE
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher
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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
300756NPIF EPSRC Doctoral - University of Glasgow 2017Neil BoweringEngineering and Physical Sciences Research Council (EPSRC)EP/R512266/1S&E - Research Administration