Comparative analysis of an urban LoRaWAN deployment: real world vs. simulation

Citoni, B., Ansari, S. , Abbasi, Q. H. , Imran, M. A. and Hussain, S. (2022) Comparative analysis of an urban LoRaWAN deployment: real world vs. simulation. IEEE Sensors Journal, 22(17), pp. 17216-17223. (doi: 10.1109/JSEN.2022.3193504)

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LoRaWAN simulations are a flexible way to analyse the behaviour of this LPWAN technology in scenarios that are unfeasible to deploy due to their scale and the number of devices required. Parallel to this, there is also a continued lack of larger-scale LoRaWAN deployments in current literature. Crucially, none of these studies involves comparison with any theoretical model, such as discrete-time simulation or mathematical analysis, for validation. In this paper we deploy a 20 nodes LoRaWAN network around the University of Glasgow’s campus, analyse the results and then proceed to develop an NS-3 simulation to recreate and match as faithfully as possible the behaviour and topology of the physical deployment. The performance of both the deployment and the simulation is then compared, and the results show that while the complexity of the simulation is kept relatively low, it is possible to get simulation results within about 20% of the deployment results.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Ansari, Dr Shuja and Imran, Professor Muhammad and Hussain, Dr Sajjad and Abbasi, Dr Qammer 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 > Autonomous Systems and Connectivity
College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
Journal Name:IEEE Sensors Journal
ISSN (Online):1558-1748
Published Online:29 July 2022
Copyright Holders:Copyright © 2022 IEEE
First Published:First published in IEEE Sensors Journal 22(17):17216-17223
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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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