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Energy Consumption Model for Sensor Nodes Based on LoRa and LoRaWAN.

Taoufik Bouguera1,2, Jean-François Diouris3, Jean-Jacques Chaillout4

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Summary
This summary is machine-generated.

This study presents an energy consumption model for sensor nodes using LoRaWAN technology. It helps optimize power usage for extended battery life in Internet of Things applications.

Keywords:
LoRaLoRaWANautonomy constraintcommunicating sensorsenergy consumptionenergy optimization

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Area of Science:

  • Electrical Engineering
  • Computer Science
  • Wireless Communication

Background:

  • Sensor nodes in Internet of Things (IoT) applications require long operational lifetimes, primarily limited by finite battery power.
  • Maximizing energy efficiency is crucial for the reliability and longevity of autonomous sensor nodes.
  • Existing solutions often lack detailed energy consumption models for specific tasks and communication technologies.

Purpose of the Study:

  • To develop a comprehensive energy consumption model for sensor nodes utilizing Low Power Wide Area Network (LPWAN) technology, specifically LoRa and LoRaWAN.
  • To provide a method for estimating the power consumption of individual sensor node components.
  • To enable informed design choices for achieving energy autonomy in IoT sensor nodes.

Main Methods:

  • Defining the distinct units and components of a sensor node.
  • Developing a detailed energy model that accounts for power consumption during various operational tasks.
  • Utilizing LoRa and LoRaWAN specifications to parameterize the energy model.

Main Results:

  • The proposed model accurately estimates the energy consumed by each element of a sensor node.
  • The model facilitates a quantitative comparison between different LoRaWAN operational modes.
  • It identifies design strategies to enhance sensor node energy autonomy and extend operational duration.

Conclusions:

  • The developed energy model is a valuable tool for optimizing sensor node design for energy efficiency.
  • It supports the selection of appropriate LoRaWAN configurations to maximize sensor node lifetime.
  • This research contributes to the advancement of reliable and long-lasting IoT deployments.