There is a newer version of this record available.

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


Citation Style Language JSON Export

{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.5519724", 
  "language": "eng", 
  "title": "Dataset: Environmental Impact on the Long-Term Connectivity and Link Quality of an Outdoor LoRa Network", 
  "issued": {
    "date-parts": [
      [
        2021, 
        9, 
        17
      ]
    ]
  }, 
  "abstract": "<p>This repository contains the long-term connectivity and link quality&nbsp;dataset collected on <a href=\"https://chirpbox.github.io/\">ChirpBox</a>&nbsp;over 4&nbsp;months&nbsp;(May&nbsp;--&nbsp;September&nbsp;2021)&nbsp;in&nbsp;the&nbsp;city&nbsp;of&nbsp;Shanghai,&nbsp;China.&nbsp;</p>\n\n<p>In&nbsp;addition&nbsp;to&nbsp;the&nbsp;dataset&nbsp;itself,&nbsp;we&nbsp;provide&nbsp;evaluation&nbsp;scripts&nbsp;for&nbsp;data&nbsp;analysis&nbsp;and&nbsp;visualization,&nbsp;in&nbsp;order&nbsp;to&nbsp;facilitate&nbsp;data&nbsp;exploration&nbsp;and&nbsp;re-use. To make it clear how to use the scripts, we provide a <em>Jupyter notebook --&nbsp;</em><a href=\"https://zenodo.org/record/5512850/files/dataset.ipynb?download=1\">dataset.ipynb</a>&nbsp;for dataset visualization. Please check the <a href=\"https://nbviewer.jupyter.org/urls/zenodo.org/record/5512850/files/dataset.ipynb/%3Fdownload%3D1\">notebook viewer</a> for a preview.</p>\n\n<p><strong>List of files:</strong></p>\n\n<ol>\n\t<li><em>dataset_03052021_15092021.csv</em>\n\n\t<ul>\n\t\t<li>The dataset includes LoRa connectivity and link quality, as well as environmental information, collected from May 3 to September 15, 2021.</li>\n\t</ul>\n\t</li>\n\t<li><em>data_analysis.py</em>\n\t<ul>\n\t\t<li>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).</li>\n\t</ul>\n\t<em>metadata_processing.py</em>\n\n\t<ul>\n\t\t<li>The script for pre-processing metadata into CSV files.</li>\n\t</ul>\n\t</li>\n\t<li><em>dataset.ipynb&nbsp;</em>\n\t<ul>\n\t\t<li>Jupiter notebook with dataset visualization and metadata pre-processing examples.</li>\n\t</ul>\n\t</li>\n\t<li><em>dataset_metadata.zip</em>\n\t<ul>\n\t\t<li>Metadata of the dataset&nbsp;in TXT and JSON formats.</li>\n\t</ul>\n\t</li>\n\t<li><em>topology_map.png</em>\n\t<ul>\n\t\t<li>A map of node deployment for creating topology maps.</li>\n\t</ul>\n\t</li>\n</ol>", 
  "author": [
    {
      "family": "Pei Tian"
    }, 
    {
      "family": "Fengxu Yang"
    }, 
    {
      "family": "Xiaoyuan Ma"
    }, 
    {
      "family": "Carlo Alberto Boano"
    }, 
    {
      "family": "Xin Tian"
    }, 
    {
      "family": "Ye Liu"
    }, 
    {
      "family": "Jianming Wei"
    }
  ], 
  "version": "v1.0.7", 
  "type": "dataset", 
  "id": "5519724"
}
622
726
views
downloads
All versions This version
Views 62211
Downloads 72611
Data volume 211.8 GB3.1 MB
Unique views 3278
Unique downloads 2856

Share

Cite as