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Evaluation of LoRaWAN Transmission Range for Wireless Sensor Networks in Riparian Forests

Authors:

Pablo Avila-Campos,

Fabian Astudillo-Salinas,

Andres Vazquez-Rodas,

Alcides AraujoAuthors Info & Claims

MSWIM '19: Proceedings of the 22nd International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems

Pages 199 - 206

https://doi.org/10.1145/3345768.3355934

Published: 25 November 2019 Publication History

Abstract

Low power wide area networks (LPWAN) such as long range wide area networks (LoRaWAN), provide several advantages on monitoring systems development in forested environments due to its simple set-up, low cost, low power consumption, and wide coverage. Regarding the coverage area, the transmission in forested environments can be highly attenuated by foliage and must be defined to optimize the number of nodes. This paper discusses an empirical study of LoRa with LoRaWAN transmission range in riparian forests, based on path-loss modeling, using both received signal strength indicator (RSSI) and signal-to-noise-ratio (SNR). The measurements have been conducted in the riparian forest of three local rivers at urban, semi-urban, and rural environments located in the city of Cuenca, Ecuador. The measurement results found that there is a significant distribution difference among measurement places, a high correlation between two banks of the same river, a higher standard deviation in urban measurements and a larger coverage in rural areas.

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Cited By

Azevedo JMendonça F(2024)A Critical Review of the Propagation Models Employed in LoRa SystemsSensors10.3390/s2412387724:12(3877)Online publication date: 15-Jun-2024
https://doi.org/10.3390/s24123877
Lima WLopes ACardoso CAraújo JNeto MTostes MNascimento ARodriguez MBarros F(2024)LoRa Technology Propagation Models for IoT Network Planning in the Amazon RegionsSensors10.3390/s2405162124:5(1621)Online publication date: 1-Mar-2024
https://doi.org/10.3390/s24051621
Mahjoub TBen Mnaouer ASaid MBoujemaa H(2024)LoRa signal propagation and path loss prediction in Tunisian date palm oasesComputers and Electronics in Agriculture10.1016/j.compag.2024.109027222:COnline publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1016/j.compag.2024.109027
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Index Terms

Evaluation of LoRaWAN Transmission Range for Wireless Sensor Networks in Riparian Forests
1. Computer systems organization
  1. Embedded and cyber-physical systems
    1. Sensor networks
2. Networks

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Published In

cover image ACM Conferences

MSWIM '19: Proceedings of the 22nd International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems

November 2019

340 pages

ISBN:9781450369046

DOI:10.1145/3345768

General Chair:
Antonio A. F. Loureiro
Federal University of Minas Gerais, Brazil
,
Program Chairs:
Salil Kanhere
University of New South Wales, Australia
,
Paolo Bellavista
University of Bologna, Italy

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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SIGSIM: ACM Special Interest Group on Simulation and Modeling

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Association for Computing Machinery

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Publication History

Published: 25 November 2019

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Research-article

Funding Sources

PROgrama para el Manejo del Agua y el Suelo (PROMAS) of the University of Cuenca
Direccion de Investigacion de la Universidad de Cuenca (DIUC)

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MSWiM '19

Sponsor:

SIGSIM

MSWiM '19: 22nd Int'l ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems

November 25 - 29, 2019

FL, Miami Beach, USA

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Overall Acceptance Rate 398 of 1,577 submissions, 25%

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Cited By

Azevedo JMendonça F(2024)A Critical Review of the Propagation Models Employed in LoRa SystemsSensors10.3390/s2412387724:12(3877)Online publication date: 15-Jun-2024
https://doi.org/10.3390/s24123877
Lima WLopes ACardoso CAraújo JNeto MTostes MNascimento ARodriguez MBarros F(2024)LoRa Technology Propagation Models for IoT Network Planning in the Amazon RegionsSensors10.3390/s2405162124:5(1621)Online publication date: 1-Mar-2024
https://doi.org/10.3390/s24051621
Mahjoub TBen Mnaouer ASaid MBoujemaa H(2024)LoRa signal propagation and path loss prediction in Tunisian date palm oasesComputers and Electronics in Agriculture10.1016/j.compag.2024.109027222:COnline publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1016/j.compag.2024.109027
Farhad APyun J(2023)LoRaWAN Meets ML: A Survey on Enhancing Performance with Machine LearningSensors10.3390/s2315685123:15(6851)Online publication date: 1-Aug-2023
https://doi.org/10.3390/s23156851
Hahn FValle SRendón ROyorzabal OAstudillo A(2023)Mango Fruit Fly Trap Detection Using Different Wireless CommunicationsAgronomy10.3390/agronomy1307173613:7(1736)Online publication date: 28-Jun-2023
https://doi.org/10.3390/agronomy13071736
Leenders GOttoy GCallebaut GVan der Perre LDe Strycker L(2023)An Energy-Efficient LoRa Multi-Hop Protocol through Preamble Sampling2023 IEEE Wireless Communications and Networking Conference (WCNC)10.1109/WCNC55385.2023.10118770(1-6)Online publication date: Mar-2023
https://doi.org/10.1109/WCNC55385.2023.10118770
Dinev DHaka AAleksieva VValchanov H(2023)Analysis of LoRa RSSI Data Using Simulations and Real Devices2023 18th Conference on Electrical Machines, Drives and Power Systems (ELMA)10.1109/ELMA58392.2023.10202359(1-4)Online publication date: 29-Jun-2023
https://doi.org/10.1109/ELMA58392.2023.10202359
Elbsir HKassab MBhiri SBedoui M(2023)Evaluation of LoRaWAN class B performances and its optimization for better support of actuatorsComputer Communications10.1016/j.comcom.2022.11.016198(128-139)Online publication date: Jan-2023
https://doi.org/10.1016/j.comcom.2022.11.016
Barrios-Ulloa AAriza-Colpas PSánchez-Moreno HQuintero-Linero ADe la Hoz-Franco E(2022)Modeling Radio Wave Propagation for Wireless Sensor Networks in Vegetated Environments: A Systematic Literature ReviewSensors10.3390/s2214528522:14(5285)Online publication date: 15-Jul-2022
https://doi.org/10.3390/s22145285
Zlatev ZGeorgieva TTodorov AStoykova V(2022)Energy Efficiency of IoT Networks for Environmental Parameters of Bulgarian CitiesComputers10.3390/computers1105008111:5(81)Online publication date: 17-May-2022
https://doi.org/10.3390/computers11050081
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