Empirically Investigating the Impact of Antenna Polarization and Modulation Parameters on Subsoil Communication Range in LoRa Networks

Nhan D.T. Nguyen; Duc V. Le; Paul J.M. Havinga

doi:10.1109/DCOSS-IoT58021.2023.00075

Empirically Investigating the Impact of Antenna Polarization and Modulation Parameters on Subsoil Communication Range in LoRa Networks

Nhan D.T. Nguyen, Duc V. Le, Paul J.M. Havinga

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

The Long Range (LoRa) network has been widely acknowledged for its efficiency and reliability in terrestrial sensing applications. However, building a robust LoRa network in the subsoil environment, which presents challenges for radio communication, remains challenging. This study evaluates the impact of antenna polarization and LoRa modulation parameters, such as bandwidth and spreading factor, on subsoil communication ranges. Based on the results of our experiments, we propose practical LoRa network configurations for the seamless transmission of subsoil sensory data to the surface.

Original language	English
Title of host publication	Proceedings - 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023
Publisher	IEEE
Pages	437-444
Number of pages	8
ISBN (Electronic)	9798350346497
DOIs	https://doi.org/10.1109/DCOSS-IoT58021.2023.00075
Publication status	Published - 27 Sept 2023
Event	19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023 - Paphos, Cyprus Duration: 19 Jun 2023 → 21 Jun 2023 Conference number: 19 https://dcoss.org/dcoss23/

Conference

Conference	19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023
Abbreviated title	DCOSS-IoT 2023
Country/Territory	Cyprus
City	Paphos
Period	19/06/23 → 21/06/23
Internet address	https://dcoss.org/dcoss23/

Keywords

2024 OA procedure
Subsoil communication
Underground sensing and monitoring
Underground sensor network
LoRa

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10.1109/DCOSS-IoT58021.2023.00075

ArticleFinal published version, 12.3 MBLicence: Taverne

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Nguyen, N. D. T., Le, D. V., & Havinga, P. J. M. (2023). Empirically Investigating the Impact of Antenna Polarization and Modulation Parameters on Subsoil Communication Range in LoRa Networks. In Proceedings - 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023 (pp. 437-444). IEEE. https://doi.org/10.1109/DCOSS-IoT58021.2023.00075

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title = "Empirically Investigating the Impact of Antenna Polarization and Modulation Parameters on Subsoil Communication Range in LoRa Networks",

abstract = "The Long Range (LoRa) network has been widely acknowledged for its efficiency and reliability in terrestrial sensing applications. However, building a robust LoRa network in the subsoil environment, which presents challenges for radio communication, remains challenging. This study evaluates the impact of antenna polarization and LoRa modulation parameters, such as bandwidth and spreading factor, on subsoil communication ranges. Based on the results of our experiments, we propose practical LoRa network configurations for the seamless transmission of subsoil sensory data to the surface.",

keywords = "2024 OA procedure, Subsoil communication, Underground sensing and monitoring, Underground sensor network, LoRa",

author = "Nguyen, {Nhan D.T.} and Le, {Duc V.} and Havinga, {Paul J.M.}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023, DCOSS-IoT 2023 ; Conference date: 19-06-2023 Through 21-06-2023",

year = "2023",

month = sep,

day = "27",

doi = "10.1109/DCOSS-IoT58021.2023.00075",

language = "English",

pages = "437--444",

booktitle = "Proceedings - 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023",

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}

Nguyen, NDT , Le, DV & Havinga, PJM 2023, Empirically Investigating the Impact of Antenna Polarization and Modulation Parameters on Subsoil Communication Range in LoRa Networks. in Proceedings - 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023. IEEE, pp. 437-444, 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023, Paphos, Cyprus, 19/06/23. https://doi.org/10.1109/DCOSS-IoT58021.2023.00075

Empirically Investigating the Impact of Antenna Polarization and Modulation Parameters on Subsoil Communication Range in LoRa Networks. / Nguyen, Nhan D.T.; Le, Duc V.; Havinga, Paul J.M.
Proceedings - 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023. IEEE, 2023. p. 437-444.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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PY - 2023/9/27

Y1 - 2023/9/27

N2 - The Long Range (LoRa) network has been widely acknowledged for its efficiency and reliability in terrestrial sensing applications. However, building a robust LoRa network in the subsoil environment, which presents challenges for radio communication, remains challenging. This study evaluates the impact of antenna polarization and LoRa modulation parameters, such as bandwidth and spreading factor, on subsoil communication ranges. Based on the results of our experiments, we propose practical LoRa network configurations for the seamless transmission of subsoil sensory data to the surface.

AB - The Long Range (LoRa) network has been widely acknowledged for its efficiency and reliability in terrestrial sensing applications. However, building a robust LoRa network in the subsoil environment, which presents challenges for radio communication, remains challenging. This study evaluates the impact of antenna polarization and LoRa modulation parameters, such as bandwidth and spreading factor, on subsoil communication ranges. Based on the results of our experiments, we propose practical LoRa network configurations for the seamless transmission of subsoil sensory data to the surface.

KW - 2024 OA procedure

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KW - Underground sensor network

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Y2 - 19 June 2023 through 21 June 2023

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Empirically Investigating the Impact of Antenna Polarization and Modulation Parameters on Subsoil Communication Range in LoRa Networks

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