Modeling a LoRaWAN Energy Consumption via Field Trial

This paper proposes a scheme to model the energy consumption of a long range wide area network (LoRaWAN) node based on the results of outdoor field experiments by considering regional smart agriculture as a use case for IoT. In particular, we derive an experimental approximation formula to estimate the battery lifetime of a LoRaWAN node by introducing parameters such as the spread factor and payload length. The validity of the proposed scheme is demonstrated by confirming that the results obtained using the approximate formula Concur with the experimental and theoretical results, regardless of the node state and spread factor. Furthermore, we demonstrate that the proposed approximate formula can be used to identify the current consumption value in the sleep state that must be achieved to achieve the desired battery lifetime. Finally, we evaluate energy efficiency performance using the proposed approximate formula and show the validity of the results.

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Publication Details

Journal
IEICE Transactions on Communications
Published
2025-03-26
DOI
https://doi.org/10.23919/transcom.2024ebp3164
Primary Topic
IoT Networks and Protocols
Type
article
Field-Weighted Citation Impact
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article

Modeling a LoRaWAN Energy Consumption via Field Trial

Taiki Ogura, Satoshi Yamazaki
IEICE Transactions on Communications
IoT Networks and Protocols
article

Modeling a LoRaWAN Energy Consumption via Field Trial

Taiki Ogura, Satoshi Yamazaki
article en

Abstract

This paper proposes a scheme to model the energy consumption of a long range wide area network (LoRaWAN) node based on the results of outdoor field experiments by considering regional smart agriculture as a use case for IoT. In particular, we derive an experimental approximation formula to estimate the battery lifetime of a LoRaWAN node by introducing parameters such as the spread factor and payload length. The validity of the proposed scheme is demonstrated by confirming that the results obtained using the approximate formula Concur with the experimental and theoretical results, regardless of the node state and spread factor. Furthermore, we demonstrate that the proposed approximate formula can be used to identify the current consumption value in the sleep state that must be achieved to achieve the desired battery lifetime. Finally, we evaluate energy efficiency performance using the proposed approximate formula and show the validity of the results.

IEICE Transactions on CommunicationsVol. E108-B(9)
Nagaoka University (JP), Tokai University (JP), Nagaoka University of Technology (JP)
Affordable and clean energy
Openalex Percentile: Top 95%
IoT Networks and Protocols
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