Dataset Open Access

Dataset: Environmental Impact on the Long-Term Connectivity and Link Quality of an Outdoor LoRa Network

Pei Tian; Fengxu Yang; Xiaoyuan Ma; Carlo Alberto Boano; Xin Tian; Ye Liu; Jianming Wei

This repository contains the long-term connectivity and link quality dataset collected on ChirpBox over 4 months (May -- September 2021) in the city of Shanghai, China. 

In addition to the dataset itself, we provide evaluation scripts for data analysis and visualization, in order to facilitate data exploration and re-use. To make it clear how to use the scripts, we provide a Jupyter notebook --  dataset.ipynb for dataset visualization.

List of files:

  1. dataset_03052021_15092021.csv
    • The dataset includes LoRa connectivity and link quality, as well as environmental information, collected from May 3 to September 15, 2021.
  2. data_analysis.py
    • The script for dataset analysis and visualization. One can use the functions in this script to derive network-level statistics (e.g., in terms of average number of correctly-exchanged packets), link-level statistics (e.g., in terms of SNR, RSS, and PRR), and node-level statistics(e.g., in terms of number of neighbours and temperature evolution over time).
  3. metadata_processing.py
    • The script for pre-processing metadata into CSV files. One can use the functions in this script to convert metadata for each measurement saved in TXT and JSON formats to CSV files that include attributes such as link quality, connectivity, and environmental information, an example of which is dataset_03052021_15092021.csv.
  4. dataset.ipynb 
    • The Jupiter notebook contains examples of visualization and metadata pre-processing of datasets with functions in data_analysis.py and metadata_processing.py.
  5. topology_map.png
    • The node deployment map used to create topology figures. A usage example is Figure 1 shown in the notebook dataset.ipynb.
  6. dataset_metadata.zip
    • The dataset metadata is stored in TXT and JSON formats. Among them, link quality, connectivity and on-board sensor data are stored in TXT files and weather information are stored in JOSN files.
  7. README.md
    • The README.md explains all the files in this repository and gives some examples of how to use the provided scripts to analyze the dataset.
Files (673.7 MB)
Name Size
data_analysis.py
md5:0de7eb285c5bbc8d96ce5c367eee62c6
41.6 kB Download
dataset.ipynb
md5:e8c289cdc2e3fd95bf305cfe2b3691c7
7.7 MB Download
dataset_03052021_15092021.csv
md5:5cfd3c490b9353cd1f0696781c7f5b08
561.8 MB Download
dataset_metadata.zip
md5:14c9e1ce7edd4cf055c70f66eb622920
103.4 MB Download
metadata_processing.py
md5:d2fd91a01ea2f14b28a7b24ce0889c1a
28.8 kB Download
readme.md
md5:06ae1a5bbd56c26dce2c65cc92871fa4
5.6 kB Download
topology_map.png
md5:6251746137b7e1dfb54e21820c3e0eb5
694.4 kB Download
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