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LoRa Traffic Generator Based on Software Defined Radio Technology for LoRa Modulation Orthogonality Analysis:
Alexandru Lavric1, Adrian I Petrariu1, Eugen Coca1
1Computers, Electronics and Automation Department, Stefan cel Mare University of Suceava, 720229 Suceava, Romania.
Sensors (Basel, Switzerland)
|July 30, 2020
Summary
This study analyzes Long Range (LoRa) communication collisions in the Internet of Things (IoT). Results show that while packet size has minimal impact, collisions significantly degrade performance, even with advanced techniques.
Area of Science:
- Engineering
- Computer Science
- Telecommunications
Background:
- The digital revolution and Internet of Things (IoT) have increased device connectivity.
- Long Range (LoRa) technology is a key enabler for scalable IoT solutions.
- Understanding LoRa communication performance under various conditions is crucial for IoT deployment.
Purpose of the Study:
- To analyze communication collisions in LoRa technology.
- To evaluate LoRa performance across different scenarios.
- To develop and validate a LoRa traffic generator for performance analysis.
Main Methods:
- Empirical evaluation of LoRa communication performance.
- Development and validation of a Software Defined Radio (SDR) based LoRa traffic generator.
- Analysis of LoRa packet collisions and their impact on performance.
Main Results:
- Increasing packet payload does not significantly affect LoRa's resistance to interference.
- A novel SDR LoRa traffic generator was developed to produce high traffic volumes.
- Collisions between LoRa packets can drastically reduce communication performance, even with orthogonal variable spreading factor (SF) techniques.
Conclusions:
- LoRa technology faces performance challenges due to packet collisions within the same channel.
- The developed LoRa traffic generator provides a high-performance tool for studying these collisions.
- Further research is needed to mitigate collision impacts for robust IoT networks.
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