Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/142869
Title: Known and unknown facts of LoRa : experiences from a large-scale measurement study
Authors: Liando, Jansen Christian
Gamage, Amalinda
Tengourtius, Agustinus Wellson
Li, Mo
Keywords: Engineering::Computer science and engineering
Issue Date: 2019
Source: Liando, J. C., Gamage, A., Tengourtius, A. W., & Li, M. (2019). Known and unknown facts of LoRa : experiences from a large-scale measurement study. ACM Transactions on Sensor Networks, 15(2), 16-. doi:10.1145/3293534
Project: MOE2016-T2-2-023
2017-T1-002-047
M4081879
Journal: ACM Transactions on Sensor Networks
Abstract: Long Range (LoRa) is a Low-power Wide-area Network technology designed for the Internet of Things. In recent years, it has gained significant momentum among industrial and research communities. Patented by Semtech, LoRa makes use of chirp spread spectrum modulation to deliver data with promises of long battery life, far-reaching communication distances, and a high node density at the cost of data rate. In this article, we conduct a series of experiments to verify the claims made by Semtech on LoRa technology. Our results show that LoRa is capable of communicating over 10km under line-of-sight environments. However, under nonline-of-sight environments, LoRa’s performance is severely affected by obstructions such as buildings and vegetations. Moreover, the promise of prolonged battery life requires extreme tuning of parameters. Last, a LoRa gateway supports up to 6,000 nodes with PRR requirement of >70%. This study also explores the relationship between LoRa transmission parameters and proposes an algorithm to determine optimal settings in terms of coverage and power consumption under non-line-of-sight environments. It further investigates the impact of LoRa Wide-area Networks on energy consumption and network capacity along with implementation of a LoRa medium access mechanism and possible gains brought forth by implementing such a mechanism.
URI: https://hdl.handle.net/10356/142869
ISSN: 1550-4859
DOI: 10.1145/3293534
Rights: © 2019 The Author(s). All rights reserved. This paper was published by ACM in ACM Transactions on Sensor Networks and is made available with permission of The Author(s).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Journal Articles

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