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Related Experiment Video

Updated: Oct 10, 2025

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

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RM-ADR: Resource Management Adaptive Data Rate for Mobile Application in LoRaWAN.

Khola Anwar¹, Taj Rahman¹, Asim Zeb²

¹Department of Physical & Numerical Science, Qurtuba University of Science & Information Technology, Peshawar 25000, Pakistan.

Sensors (Basel, Switzerland)

|December 10, 2021

Summary

This summary is machine-generated.

This study introduces Resource Management ADR (RM-ADR) to improve mobile LoRaWAN networks. RM-ADR minimizes packet loss and retransmissions for better performance.

Keywords:

LoRaWAN convergence time energy consumption internet of things mobility resource management

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Quasi-light Storage for Optical Data Packets

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Published on: February 6, 2014

Area of Science:

Wireless communication networks
Internet of Things (IoT) technologies

Background:

LoRaWAN utilizes Adaptive Data Rate (ADR) for efficient resource allocation to End Devices (EDs).
Fixed ADR strategies in LoRaWAN struggle with mobile EDs due to fluctuating link conditions, leading to packet loss and retransmissions.
Existing ADR methods are suboptimal for dynamic mobile environments in LoRaWAN.

Purpose of the Study:

To propose an enhanced ADR technique, Resource Management ADR (RM-ADR), for mobile LoRaWAN networks.
To address the inefficiencies and packet loss caused by fixed resource allocation for mobile EDs.
To improve the overall performance and reliability of LoRaWAN networks with mobile devices.

Main Methods:

Developed a Resource Management ADR (RM-ADR) algorithm implemented at both the End Device (ED) and Network Server (NS).
RM-ADR considers packet transmission data and received power for dynamic resource allocation.
Evaluated RM-ADR performance through network simulations.

Main Results:

RM-ADR demonstrated superior performance compared to existing state-of-the-art ADR techniques.
The proposed RM-ADR significantly reduced packet loss ratio and the number of retransmissions.
Faster convergence time was observed in mobile LoRaWAN network simulations using RM-ADR.

Conclusions:

RM-ADR effectively enhances resource management for mobile EDs in LoRaWAN.
The proposed method mitigates packet loss and retransmissions, improving network efficiency.
RM-ADR offers a promising solution for reliable and performant mobile IoT applications using LoRaWAN.