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Revealing insights for improvements in LoRaWAN in multiple applications scenarios: poster abstract

Published: 10 November 2019 Publication History

Abstract

We study LoRaWAN's performance when multiple applications are concurrently running over the same LoRaWAN network. We consider applications that generate data packets using a Poisson process, a random distribution, and at periodic intervals. The LoRa PHY layer supports a number of communication settings. However, here we focus on two specific settings: the setting recommended by LoRaWAN and the setting that yields the highest possible data rate in LoRa. Our results demonstrate the following: (i) LoRaWAN favours applications that generate packets at a higher periodic rate, (ii) LoRAWAN does not favour applications that generate packets at a higher rate under Poisson and uniform random distribution, (iii) LoRaWAN's recommended PHY setting demonstrates poor performance, (iv) LoRa's fastest data rate setting outperforms the LoRaWAN recommended setting, and (v) LoRaWAN favours applications that generate packets using uniform random and Poisson distributions over application that generates packet at periodic interval. Our results also hint that using multi-hop communication along with the LoRa's fastest data rate setting can not only increase the setting's coverage, but it may still deliver better performance relative to the LoRaWAN's recommended setting.

References

[1]
M. C. Bor, U. Roedig, T. Voigt, and J. M. Alonso. Do LoRa Low-Power Wide-Area Networks Scale? In Proceedings of the 19th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, MSWiM '16, pages 59--67, 2016.
[2]
O. Georgiou and U. Raza. Low Power Wide Area Network Analysis: Can LoRa Scale? IEEE Wireless Communications Letters, 6(2):162--165, 2017.
[3]
N. Sornin, M. Luis, T. Eirich, T. Kramp, and O. Hersent. LoRaWAN Specifications, LoRa Alliance, San Ramon, CA, USA, 2015.

Cited By

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  • (2023)A Survey on Scalable LoRaWAN for Massive IoT: Recent Advances, Potentials, and ChallengesIEEE Communications Surveys & Tutorials10.1109/COMST.2023.327493425:3(1841-1876)Online publication date: Nov-2024

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cover image ACM Conferences
SenSys '19: Proceedings of the 17th Conference on Embedded Networked Sensor Systems
November 2019
472 pages
ISBN:9781450369503
DOI:10.1145/3356250
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 November 2019

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Overall Acceptance Rate 174 of 867 submissions, 20%

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  • (2023)A Survey on Scalable LoRaWAN for Massive IoT: Recent Advances, Potentials, and ChallengesIEEE Communications Surveys & Tutorials10.1109/COMST.2023.327493425:3(1841-1876)Online publication date: Nov-2024

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