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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Data-Driven Energy-Saving Methods Based on LoRa-Mesh Hierarchical Network.

Minyi Tang1, Xiaowu Li1, Jinxia Shang1

  • 1Faculty of Information Engineering and Automation, Kunming University of Science and Technology, 727 South Jingming Road, Chenggong District, Kunming 650500, China.

Sensors (Basel, Switzerland)
|April 14, 2026
PubMed
Summary

This study introduces a Data-Driven Energy Saving (DDES) protocol for LoRa-Mesh networks. DDES significantly extends battery life by dynamically adjusting node sleep durations, improving IoT device efficiency.

Keywords:
LoRa-Meshdata-drivendynamic sleepenergy-savingtime synchronizationtwo-way transmission

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Last Updated: Apr 15, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

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Area of Science:

  • Wireless Communication
  • Internet of Things (IoT)
  • Network Protocols

Background:

  • Traditional LoRaWAN star topology lacks deployment flexibility and scalability in challenging environments.
  • LoRa-Mesh networks offer improved coverage via multi-hop and self-organization but face energy consumption challenges.
  • Efficient energy management is crucial for the viability of LoRa-Mesh networks.

Purpose of the Study:

  • To propose a novel protocol for managing energy consumption in LoRa-Mesh networks.
  • To enhance the operational lifespan of IoT devices within LoRa-Mesh infrastructure.
  • To address the limitations of fixed sleep mechanisms in wireless sensor networks.

Main Methods:

  • Development of a Data-Driven Energy Saving (DDES) protocol.
  • Dynamic adjustment of node sleep durations based on data change.
  • Implementation of an energy-saving framework utilizing uplink data streams and downlink post-analysis messages.

Main Results:

  • The DDES protocol significantly extends battery life, showing approximately a 20-fold increase in simulations compared to networks without sleep mechanisms.
  • Demonstrated refined and flexible division of sleep regions within the LoRa network.
  • Achieved on-demand energy saving through precise node control.

Conclusions:

  • The DDES protocol offers a breakthrough in energy saving for LoRa-Mesh networks.
  • Dynamic sleep management based on data provides substantial advantages over fixed sleep schemes.
  • The proposed protocol enhances the efficiency and longevity of IoT deployments in challenging terrains.