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Wireless Networks
Erschienen in: Wireless Networks 2/2024

30.10.2023 | Original Paper

LoRaWAN sensor: energy analysis and modeling

verfasst von: Mohammad Reza Ghaderi, Nasrin Amiri

Erschienen in: Wireless Networks | Ausgabe 2/2024

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Abstract

Nowadays, with the increasing growth of the Internet of Things (IoT), where reliable sensors are needed to operate for extended periods, the issue of energy consumption efficiency has become crucial. To address this, it is suggested to utilize low-power network (LPN) technology for IoT sensor networks. Additionally, a detailed analysis of sensor node performance and a comprehensive understanding of energy consumption sources in the sensor are necessary to tackle the energy management challenge. Therefore, it is highly valuable to have a model that can analyze the performance of the sensor node in various operation modes. In this article, we analyze the impact of various parameters on sensor node performance and present a comprehensive model for the sensor node energy consumption in the network based on long-range/long-range wide-area network (LoRa/LoRaWAN) technologies. This model enables the analysis of network performance and the estimation of energy consumption in different modes of the sensor node. The model can be practically utilized in the optimal design of sensor nodes in IoT networks based on LoRa/LoRaWAN technology, with a focus on increasing sensor lifetime.
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Metadaten
Titel
LoRaWAN sensor: energy analysis and modeling
verfasst von
Mohammad Reza Ghaderi
Nasrin Amiri
Publikationsdatum
30.10.2023
Verlag
Springer US
Erschienen in
Wireless Networks / Ausgabe 2/2024
Print ISSN: 1022-0038
Elektronische ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-023-03542-y

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