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Article Dans Une Revue Sensors Année : 2021

Refined Node Energy Consumption Modeling in a LoRaWAN Network

Résumé

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.
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Dates et versions

hal-03355091 , version 1 (25-10-2021)

Identifiants

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Sébastien Maudet, Guillaume Andrieux, Romain Chevillon, Jean-François Diouris. Refined Node Energy Consumption Modeling in a LoRaWAN Network. Sensors, 2021, 21 (19), pp.6398. ⟨10.3390/s21196398⟩. ⟨hal-03355091⟩
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