Evaluation of Multi-Gateway LoRaWAN with Different Data Traffic Models

Research output: Chapter in Book/Report/Conference proceedingsChapterpeer-review

Abstract

In this paper, We analyze the performance of popular low-power wide-area networking technology called long rage (LoRa) using different data traffic generation models, and by varying the number of gateways in a LoRa network cell. Moreover, we also analyze LoRa's performance in the presence of multiple concurrent applications in a LoRa network. Here, we also present an extension for an existing LoRa simulator called LoRaSim to simulate multiple concurrent applications in the presence of multiple gateways in a LoRa network. Our results demonstrate that, a LoRa communication setting that supports diversity in terms of bandwidth, spreading factor, and coding rate demonstrates good performance for different data traffic models mostly without requiring multiple gateways in a LoRa network cell. Through simulation case studies, we also demonstrate effectiveness of our extended LoRaSim simulator.

Original languageEnglish
Title of host publication43rd IEEE Conference on Local Computer Networks, LCN 2018
PublisherIEEE Computer Society
Pages279-282
Number of pages4
ISBN (Electronic)9781538644133
DOIs
Publication statusPublished - 2 Jul 2018
Externally publishedYes
Event43rd IEEE Conference on Local Computer Networks, LCN 2018 - Chicago, United States
Duration: 1 Oct 20184 Oct 2018

Publication series

NameProceedings - Conference on Local Computer Networks, LCN
Volume2018-October

Conference

Conference43rd IEEE Conference on Local Computer Networks, LCN 2018
Country/TerritoryUnited States
CityChicago
Period1/10/184/10/18

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