Dataset Open Access
Pei Tian; Fengxu Yang; Xiaoyuan Ma; Carlo Alberto Boano; Xin Tian; Ye Liu; Jianming Wei
{ "inLanguage": { "alternateName": "eng", "@type": "Language", "name": "English" }, "description": "<p>This repository contains the long-term connectivity and link quality dataset collected on <a href=\"https://chirpbox.github.io/\">ChirpBox</a> over 4 months (May -- September 2021) in the city of Shanghai, China. </p>\n\n<p>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 <em>Jupyter notebook -- </em><a href=\"https://zenodo.org/record/5512850/files/dataset.ipynb?download=1\">dataset.ipynb</a> 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 </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 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>", "license": "https://creativecommons.org/licenses/by/4.0/legalcode", "creator": [ { "affiliation": "Shanghai Advanced Research Institute, Chinese Academy of Sciences", "@type": "Person", "name": "Pei Tian" }, { "affiliation": "Shanghai Advanced Research Institute, Chinese Academy of Sciences", "@type": "Person", "name": "Fengxu Yang" }, { "affiliation": "SKF Group", "@type": "Person", "name": "Xiaoyuan Ma" }, { "affiliation": "Graz University of Technology", "@type": "Person", "name": "Carlo Alberto Boano" }, { "affiliation": "Shanghai Advanced Research Institute, Chinese Academy of Sciences", "@type": "Person", "name": "Xin Tian" }, { "affiliation": "Nanjing Agricultural University", "@type": "Person", "name": "Ye Liu" }, { "affiliation": "Shanghai Advanced Research Institute, Chinese Academy of Sciences", "@type": "Person", "name": "Jianming Wei" } ], "url": "https://zenodo.org/record/5519724", "datePublished": "2021-09-17", "version": "v1.0.7", "keywords": [ "LoRa", "ChirpBox", "Connectivity", "Link quality", "Internet of Things", "Physical layer settings", "SX1276", "Temperature", "Weather" ], "@context": "https://schema.org/", "distribution": [ { "contentUrl": "https://zenodo.org/api/files/f79fa972-7de5-4310-81c3-03d6962df166/readme.md", "encodingFormat": "md", "@type": "DataDownload" }, { "contentUrl": "https://zenodo.org/api/files/f79fa972-7de5-4310-81c3-03d6962df166/topology_map.png", "encodingFormat": "png", "@type": "DataDownload" } ], "identifier": "https://doi.org/10.5281/zenodo.5519724", "@id": "https://doi.org/10.5281/zenodo.5519724", "@type": "Dataset", "name": "Dataset: Environmental Impact on the Long-Term Connectivity and Link Quality of an Outdoor LoRa Network" }
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