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LoRaWAN gateway performance and vehicle tracking data

2025
2024, Helikite, LoRa, Urban
Canonical Experiments, GE3: LoRa PHY TX-RX, GNU Radio

Lead Experimenter

Ozgur Ozdemir, North Carolina State University

Link to Dataset

  • Dataset Link: The dataset includes power spectrum measurements and GPS logs that are collected at a drone in an urban environment. The SigMF format dataset including format conversion codes can be accessed here [Dryad].

Equipment and Software Used

LoRaWAN-enabled IoT LoStik device, connected to a LattePanda MiniPC, LPN, RAK7289CV2-V1 LoRaWAN gateways Located in (LW1, LW2, LW3, LW4, LW5, CC2, CC3 and RE2)

Description

This dataset was collected during an experiment conducted during NC State’s Packapalooza festival in August 2024. It evaluates the performance of LoRaWAN gateways by analyzing received telemetry data from a moving vehicle (i.e., helikite). Key metrics include Received Signal Strength Indicator (RSSI), Signal-to-Noise Ratio (SNR), transmission timestamps, and geographic data. The dataset supports various research applications such as optimizing IoT networks, enhancing data reliability, and developing energy-efficient LoRaWAN solutions. The raw and processed data, along with SigMF metadata and Python scripts for post-processing, enable reproducible analyses and integration into other workflows.

Publications

    Representative Results

    The RSSI and SNR versus the experiment time, and the map to show the signal strength vs. location for one of the gateways are presented below.

          

    Potential use cases for this dataset include:

    • LoRaWAN Optimization: Analyze gateway performance to optimize deployment strategies for IoT networks.
    • Data Reliability Studies: Assess the reliability of transmitted data under varying conditions (e.g., noise levels, signal strength).
    • IoT-Based Navigation Systems: Support development of IoT-enabled vehicle navigation and telemetry systems.
    • Energy Efficiency Analysis: Explore power consumption patterns in LoRaWAN devices.