Refined Node Energy Consumption Modeling in a LoRaWAN Network
LPWAN technologies such as LoRa are widely used for the deployment of IoT applications, in particular for use cases requiring wide coverage and low energy consumption. To minimize the maintenance cost, which can become significant when the number of sensors deployed is large, it is essential to opti...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-09-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/19/6398 |
| _version_ | 1797515795833552896 |
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| author | Sébastien Maudet Guillaume Andrieux Romain Chevillon Jean-François Diouris |
| author_facet | Sébastien Maudet Guillaume Andrieux Romain Chevillon Jean-François Diouris |
| author_sort | Sébastien Maudet |
| collection | DOAJ |
| description | LPWAN technologies such as LoRa are widely used for the deployment of IoT applications, in particular for use cases requiring wide coverage and low energy consumption. To minimize the maintenance cost, which can become significant when the number of sensors deployed is large, it is essential to optimize the lifetime of nodes, which remains an important research topic. For this reason, it is necessary that it is based on a fine energy consumption model. Unfortunately, many existing consumption models do not take into account the specifications of the LoRaWAN protocol. In this paper, a refined energy consumption model based on in-situ measurements is provided for a LoRaWAN node. This improved model takes into account the number of nodes in the network, the collision probability that depends on the density of sensors, and the number of retransmissions. Results show the influence of the number of nodes in a LoRaWAN network on the energy consumption of a node and demonstrate that the number of sensors that can be integrated into a LoRaWAN network is limited due to the probability of collision. |
| first_indexed | 2024-03-10T06:52:20Z |
| format | Article |
| id | doaj.art-a6467febb7f1496da96b48c311cf7bb6 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T06:52:20Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-a6467febb7f1496da96b48c311cf7bb62023-11-22T16:45:31ZengMDPI AGSensors1424-82202021-09-012119639810.3390/s21196398Refined Node Energy Consumption Modeling in a LoRaWAN NetworkSébastien Maudet0Guillaume Andrieux1Romain Chevillon2Jean-François Diouris3Université de Nantes, CNRS, IETR UMR 6164, F-85000 La Roche-sur-Yon, FranceUniversité de Nantes, CNRS, IETR UMR 6164, F-85000 La Roche-sur-Yon, FranceUniversité de Nantes, CNRS, IETR UMR 6164, F-85000 La Roche-sur-Yon, FranceUniversité de Nantes, CNRS, IETR UMR 6164, F-85000 La Roche-sur-Yon, FranceLPWAN technologies such as LoRa are widely used for the deployment of IoT applications, in particular for use cases requiring wide coverage and low energy consumption. To minimize the maintenance cost, which can become significant when the number of sensors deployed is large, it is essential to optimize the lifetime of nodes, which remains an important research topic. For this reason, it is necessary that it is based on a fine energy consumption model. Unfortunately, many existing consumption models do not take into account the specifications of the LoRaWAN protocol. In this paper, a refined energy consumption model based on in-situ measurements is provided for a LoRaWAN node. This improved model takes into account the number of nodes in the network, the collision probability that depends on the density of sensors, and the number of retransmissions. Results show the influence of the number of nodes in a LoRaWAN network on the energy consumption of a node and demonstrate that the number of sensors that can be integrated into a LoRaWAN network is limited due to the probability of collision.https://www.mdpi.com/1424-8220/21/19/6398energy consumptionInternet of Things (IoT)LoRaLoRaWANLPWANwireless sensor network (WSN) |
| spellingShingle | Sébastien Maudet Guillaume Andrieux Romain Chevillon Jean-François Diouris Refined Node Energy Consumption Modeling in a LoRaWAN Network Sensors energy consumption Internet of Things (IoT) LoRa LoRaWAN LPWAN wireless sensor network (WSN) |
| title | Refined Node Energy Consumption Modeling in a LoRaWAN Network |
| title_full | Refined Node Energy Consumption Modeling in a LoRaWAN Network |
| title_fullStr | Refined Node Energy Consumption Modeling in a LoRaWAN Network |
| title_full_unstemmed | Refined Node Energy Consumption Modeling in a LoRaWAN Network |
| title_short | Refined Node Energy Consumption Modeling in a LoRaWAN Network |
| title_sort | refined node energy consumption modeling in a lorawan network |
| topic | energy consumption Internet of Things (IoT) LoRa LoRaWAN LPWAN wireless sensor network (WSN) |
| url | https://www.mdpi.com/1424-8220/21/19/6398 |
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