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Cited by 386

The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

Energy Consumption Model for Sensor Nodes Based on LoRa and LoRaWAN

Open access
Bouguera, Taoufik, Diouris, Jean-François, Chaillout, Jean-Jacques, Jaouadi, Randa, Andrieux, Guillaume·2018·Sensors

Abstract

Energy efficiency is the key requirement to maximize sensor node lifetime. Sensor nodes are typically powered by a battery source that has finite lifetime. Most Internet of Thing (IoT) applications require sensor nodes to operate reliably for an extended period of time. To design an autonomous sensor node, it is important to model its energy consumption for different tasks. Each task consumes a power consumption amount for a period of time. To optimize the consumed energy of the sensor node and have long communication range, Low Power Wide Area Network technology is considered. This paper describes an energy consumption model based on LoRa and LoRaWAN, which allows estimating the consumed power of each sensor node element. The definition of the different node units is first introduced. Then, a full energy model for communicating sensors is proposed. This model can be used to compare different LoRaWAN modes to find the best sensor node design to achieve its energy autonomy.

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Metadata

Authors
Bouguera, T., Diouris, J.-F., Chaillout, J.-J., Jaouadi, R., & Andrieux, G.
Venue
Sensors
Publisher
MDPI AG
Published
2018-06-30
Volume
18
Issue
7
Pages
2104
ISSN
1424-8220 (ISSN-L)
OpenAlex
W2809803840
Cited by
386
References
14
FWCI
13.36
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Energy Consumption Model for Sensor Nodes Based on LoRa and LoRaWAN. https://app.cochat.ai/papers/10.3390/s18072104
The paper
Bouguera, T., Diouris, J.-F., Chaillout, J.-J., Jaouadi, R., & Andrieux, G. (2018). Energy Consumption Model for Sensor Nodes Based on LoRa and LoRaWAN. Sensors. https://doi.org/10.3390/s18072104

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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