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Energy Allocation for LoRaWAN Nodes with Multi-Source Energy Harvesting.
Philip-Dylan Gleonec1,2, Jeremy Ardouin1, Matthieu Gautier2
1Wi6Labs, F-35510 Cesson-Sévigné, France.
Sensors (Basel, Switzerland)
|April 30, 2021
Summary
This study introduces a multi-source energy harvesting system for connected devices, improving data transmission and task execution reliability. The novel power management system significantly boosts performance compared to single-source solutions.
Area of Science:
- Internet of Things (IoT)
- Wireless Sensor Networks
- Energy Harvesting
Background:
- Connected devices require reliable power, which is challenging for intermittent energy harvesting.
- Multi-source energy harvesting and intelligent power management can enhance device operation.
Purpose of the Study:
- To develop and validate a multi-source energy-harvesting system for LoRaWAN nodes.
- To implement an optimal energy allocation strategy for multi-task devices.
Main Methods:
- An industrial sensor node was enhanced with a multi-source energy-harvesting circuit.
- A novel power management system was developed for energy allocation across multiple tasks.
- Experimental validation was conducted on a real LoRaWAN network.
Main Results:
- The multi-source energy-harvesting and power-management system achieved a 51% increase in transmitted messages.
- The system resulted in a 62% increase in executed sensing tasks compared to single-source systems.
Conclusions:
- Multi-source energy harvesting combined with an adaptive power management system significantly improves the reliability and performance of IoT devices.
- This approach offers a viable solution for powering connected devices in challenging environments.
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