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Refined Node Energy Consumption Modeling in a LoRaWAN Network.

Sébastien Maudet1, Guillaume Andrieux1, Romain Chevillon1

  • 1Université de Nantes, CNRS, IETR UMR 6164, F-85000 La Roche-sur-Yon, France.

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Summary
This summary is machine-generated.

Optimizing Internet of Things (IoT) node lifetime is crucial for reducing maintenance costs. This study presents a refined energy consumption model for LoRaWAN nodes, considering network size and collisions to improve device longevity.

Keywords:
Internet of Things (IoT)LPWANLoRaLoRaWANenergy consumptionwireless sensor network (WSN)

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Area of Science:

  • Wireless communication
  • Internet of Things (IoT)
  • Low Power Wide Area Networks (LPWAN)

Background:

  • LoRaWAN is a key LPWAN technology for IoT applications needing broad coverage and low power.
  • Optimizing the lifespan of IoT nodes is critical to minimize maintenance costs, especially in large-scale deployments.
  • Existing energy consumption models often overlook specific LoRaWAN protocol features.

Purpose of the Study:

  • To develop a precise energy consumption model for LoRaWAN nodes.
  • To enhance the accuracy of energy models by incorporating LoRaWAN-specific parameters.
  • To investigate the impact of network parameters on node energy consumption and longevity.

Main Methods:

  • Developed a refined energy consumption model for LoRaWAN nodes.
  • Incorporated in-situ measurements for model validation.
  • Accounted for network size, collision probability (sensor density), and retransmissions.

Main Results:

  • The refined model accurately predicts LoRaWAN node energy consumption.
  • Demonstrated the significant impact of the number of network nodes on individual node energy usage.
  • Highlighted that increased sensor density elevates collision probability, affecting network capacity.

Conclusions:

  • A refined energy consumption model is essential for accurate LoRaWAN node lifetime prediction.
  • Network size and sensor density directly influence energy consumption and node longevity.
  • The probability of collisions limits the number of sensors that can be effectively deployed in a LoRaWAN network.