LoRaWANSim : a flexible simulator for LoRaWAN networks
|Author:||Marini, Riccardo1; Mikhaylov, Konstantin2; Pasolini, Gianni1;|
1Wilab, CNIT and DEI Department, University of Bologna, Viale Risorgimento 2, 40136 Bologna, Italy
2Centre for Wireless Communications, University of Oulu, Erkki Koiso-Kanttilan katu 3, 90570 Oulu, Finland
|Online Access:||PDF Full Text (PDF, 0.8 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2021042111134
Multidisciplinary Digital Publishing Institute,
|Publish Date:|| 2021-04-21
Among the low power wide area network communication protocols for large scale Internet of Things, LoRaWAN is considered one of the most promising, owing to its flexibility and energy-saving capabilities. For these reasons, during recent years, the scientific community has invested efforts into assessing the fundamental performance limits and understanding the trade-offs between the parameters and performance of LoRaWAN communication for different application scenarios. However, this task cannot be effectively accomplished utilizing only analytical methods, and precise network simulators are needed. To that end, this paper presents LoRaWANSim, a LoRaWAN simulator implemented in MATLAB, developed to characterize the behavior of LoRaWAN networks, accounting for physical, medium access control and network aspects. In particular, since many simulators described in the literature are deployed for specific research purposes, they are usually oversimplified and hold a number of assumptions affecting the accuracy of their results. In contrast, our simulator has been developed for the sake of completeness and it is oriented towards an accurate representation of the LoRaWAN at the different layers. After a detailed description of the simulator, we report a validation of the simulator itself and we then conclude by presenting some results of its use revealing notable and non-intuitive trade-offs present in LoRaWAN. Such simulator will be made available via open access to the research community.
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
The work of R.Marini, G. Pasolini and C. Buratti was carried out in the framework of the CNIT National LaboratoryWiLab and of the COST Innovators Grant IG15104, IMMUNeT. The work of K. Mikhaylov was supported by the Academy of Finland 6Genesis Flagship under grant number 318927.
|Academy of Finland Grant Number:||
318927 (Academy of Finland Funding decision)
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).