Dataset: On Cost-effective, Reliable Coverage for LoS Communications in Urban Areas

<p>Dataset containing the geodata needed to replicate the analysis and the results related the research article: <a href="https://doi.org/10.1109/TNSM.2022.3190634">&quot;On Cost-effective, Reliable Coverage for LoS Communications in Urban Areas&quot;</a> published on Transactions of Network and Service Management.</p> <p>&nbsp;</p> <p>This dataset contains all the data used in the research article: &quot;On Cost-effective, Reliable Coverage for LoS Communications in Urban Areas&quot; published on Transactions of Network and Service Management.</p> <p>It is divided into three main archives:</p> <ul> <li>The first archive, called <strong>data.zip</strong>, contains the Data Surface Model (DSM) used to generate the intervisibility graphs. These maps have been aggregated from different sources and they are all released under a CC-BY-SA 4.0 license. The files follow the naming format {area}_{type}.tif, where type can be one of the followings: <ul> <li>&#39;<strong>buildings_mask</strong>&#39;: contains the buildings&#39; shapes in raster format. These have been obtained by rasterizing the OpenStreetMap vectorial buildings data.</li> <li>&#39;<strong>roads_mask</strong>&#39;: contains the roads&#39; shapes in raster format. These have been obtained by expading the OpenStreetMap road graph by a given a mount of meters and rasterizing the result.</li> <li>&#39;<strong>dtm</strong>&#39;: the Data Terrain Model in raster format</li> <li>&#39;&#39;: the polished version of the Data Surface Model, where the values of the DSM are used only for the buildings (to map the roofs) and outside of the buildings the values from the dtm are used. In this way trees and unmapped buildings are not considered.</li> </ul> </li> <li>The second archive, called <strong>results.zip</strong>, contains the outcome of our algorithm for the optimal BS locations. The folder format is the following: &#39;results/{area}/threestep/{sa_id}/{ranking_function}/{k}/{ratio}/{lambda} : <ul> <li>&#39;area&#39;: corresponds to the macro area used for that specific run</li> <li>&#39;sa_id&#39;: corresponds to the subarea id (from 0 to 4) of a specific block of that area</li> <li>&#39;ranking_function&#39;: corresponds to the ranking function used by the algorithm for that specific result (see the research article for more information)</li> <li>&#39;ratio&#39;: corresponds to the percentage of buildings used (see the research article for more information)</li> <li>&#39;lambda&#39;: corresponds to the density of Base Stations deployed (see the research article for more information).</li> </ul> </li> </ul> <p>The data are licensed as follows:</p> <p>The DSM and DTM are licensed depending on the area:</p> <ul> <li><strong>Trento</strong>: The data are released by&nbsp;<a href="https://www.provincia.tn.it/">Provincia Autonoma di Trento</a> under a <a href="https://creativecommons.org/licenses/by/2.5/">CC-BY 2.5 License</a></li> <li><strong>Firenze</strong>: The data are released by <a href="https://www.regione.toscana.it/">Regione Toscana</a> under a <a href="https://creativecommons.org/licenses/by/4.0/">CC-BY 4.0 License</a></li> <li><strong>Napoli</strong>: The data are released by <a href="https://cittametropolitana.na.it/">Citt&agrave; Metropolitana di Napoli</a> under a <a href="https://creativecommons.org/licenses/by-sa/4.0/">CC-BY-SA 4.0 License</a></li> </ul> <p>The OpenStreetMap data have been obtained by <a href="https://download.geofabrik.de/">geofabrik.de</a> and are released under an <a href="https://opendatacommons.org/licenses/odbl/">Open Data Commons Open Database License</a></p> <p>&nbsp;</p> <p>All the results can be replicated using our code, available on <a href="https://github.com/UniVe-NeDS-Lab/TrueBS">Github</a>.</p> <p>&nbsp;</p> <p>In order to cite this dataset please cite the original research article:</p> <p>&nbsp;</p> <pre><code>@article{9828530, author={Gemmi, Gabriele and Cigno, Renato Lo and Maccari, Leonardo}, journal={IEEE Transactions on Network and Service Management}, title={On Cost-effective, Reliable Coverage for LoS Communications in Urban Areas}, year={2022}, volume={}, number={}, pages={1-1}, doi={10.1109/TNSM.2022.3190634} } </code></pre> <p>&nbsp;</p>