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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


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    <dct:title>Dataset: Environmental Impact on the Long-Term Connectivity and Link Quality of an Outdoor LoRa Network</dct:title>
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    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2021</dct:issued>
    <dcat:keyword>LoRa</dcat:keyword>
    <dcat:keyword>ChirpBox</dcat:keyword>
    <dcat:keyword>Connectivity</dcat:keyword>
    <dcat:keyword>Link quality</dcat:keyword>
    <dcat:keyword>Internet of Things</dcat:keyword>
    <dcat:keyword>Physical layer settings</dcat:keyword>
    <dcat:keyword>SX1276</dcat:keyword>
    <dcat:keyword>Temperature</dcat:keyword>
    <dcat:keyword>Weather</dcat:keyword>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2021-09-17</dct:issued>
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    <dct:description>&lt;p&gt;This repository contains the long-term connectivity and link quality&amp;nbsp;dataset collected on &lt;a href="https://chirpbox.github.io/"&gt;ChirpBox&lt;/a&gt;&amp;nbsp;over 4&amp;nbsp;months&amp;nbsp;(May&amp;nbsp;--&amp;nbsp;September&amp;nbsp;2021)&amp;nbsp;in&amp;nbsp;the&amp;nbsp;city&amp;nbsp;of&amp;nbsp;Shanghai,&amp;nbsp;China.&amp;nbsp;&lt;/p&gt; &lt;p&gt;In&amp;nbsp;addition&amp;nbsp;to&amp;nbsp;the&amp;nbsp;dataset&amp;nbsp;itself,&amp;nbsp;we&amp;nbsp;provide&amp;nbsp;evaluation&amp;nbsp;scripts&amp;nbsp;for&amp;nbsp;data&amp;nbsp;analysis&amp;nbsp;and&amp;nbsp;visualization,&amp;nbsp;in&amp;nbsp;order&amp;nbsp;to&amp;nbsp;facilitate&amp;nbsp;data&amp;nbsp;exploration&amp;nbsp;and&amp;nbsp;re-use. To make it clear how to use the scripts, we provide a &lt;em&gt;Jupyter notebook --&amp;nbsp;&lt;/em&gt;&lt;a href="https://zenodo.org/record/5512850/files/dataset.ipynb?download=1"&gt;dataset.ipynb&lt;/a&gt;&amp;nbsp;for dataset visualization. Please check the &lt;a href="https://nbviewer.jupyter.org/urls/zenodo.org/record/5512850/files/dataset.ipynb/%3Fdownload%3D1"&gt;notebook viewer&lt;/a&gt; for a preview.&lt;/p&gt; &lt;p&gt;&lt;strong&gt;List of files:&lt;/strong&gt;&lt;/p&gt; &lt;ol&gt; &lt;li&gt;&lt;em&gt;dataset_03052021_15092021.csv&lt;/em&gt; &lt;ul&gt; &lt;li&gt;The dataset includes LoRa connectivity and link quality, as well as environmental information, collected from May 3 to September 15, 2021.&lt;/li&gt; &lt;/ul&gt; &lt;/li&gt; &lt;li&gt;&lt;em&gt;data_analysis.py&lt;/em&gt; &lt;ul&gt; &lt;li&gt;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).&lt;/li&gt; &lt;/ul&gt; &lt;em&gt;metadata_processing.py&lt;/em&gt; &lt;ul&gt; &lt;li&gt;The script for pre-processing metadata into CSV files.&lt;/li&gt; &lt;/ul&gt; &lt;/li&gt; &lt;li&gt;&lt;em&gt;dataset.ipynb&amp;nbsp;&lt;/em&gt; &lt;ul&gt; &lt;li&gt;Jupiter notebook with dataset visualization and metadata pre-processing examples.&lt;/li&gt; &lt;/ul&gt; &lt;/li&gt; &lt;li&gt;&lt;em&gt;dataset_metadata.zip&lt;/em&gt; &lt;ul&gt; &lt;li&gt;Metadata of the dataset&amp;nbsp;in TXT and JSON formats.&lt;/li&gt; &lt;/ul&gt; &lt;/li&gt; &lt;li&gt;&lt;em&gt;topology_map.png&lt;/em&gt; &lt;ul&gt; &lt;li&gt;A map of node deployment for creating topology maps.&lt;/li&gt; &lt;/ul&gt; &lt;/li&gt; &lt;/ol&gt;</dct:description>
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