ARLCL: Anchor-free Ranging-Likelihood-based Cooperative Localization

<p>This *dataset (68440 files of approx. 30GB unzipped) includes all Bluetooth Low Energy (BLE) Received Signal Strength (RSS) samples used for the evaluation of the&nbsp;Anchor-free Ranging-Likelihood-based Cooperative Localization (ARLCL) method.&nbsp;Each DB file corresponds to an evaluated scenario&nbsp;of a unique combination of nodes/samples&nbsp;(i.e. reflecting different swarm deployments and measurement qualities). The maximal setting&nbsp;is&nbsp;21 Raspberry Pis and 20 RSS measurement samples. Each&nbsp;DB file contains the true positions of the participating nodes, 100 resampling cases, and one exceptional case (#RSS_0#) where all samples have been used (this case has not been considered in the&nbsp;paper).<br> <br> The specific structure of the&nbsp;DB&nbsp;files&nbsp;is required by our open-sourced Cooperative Localization&nbsp;Optimizer (<a href="https://github.com/CDS-Bern/ARLCL-Optimizer"><em><strong>ARLCL-Optimizer</strong></em></a>),&nbsp;and also the&nbsp;<strong>Mass Spring</strong> and <strong>Maximum Likelihood - Particle Swarm Optimization</strong> implementations that we&nbsp;used in the paper. These are also provided openly in our repo&nbsp;(<a href="https://github.com/CDS-Bern/ARLCL-Optimizer">https://github.com/CDS-Bern/ARLCL-Optimizer</a>).<br> <br> We encourage future cooperative localization solutions to use our provided dataset/software&nbsp;for&nbsp;comparisons or&nbsp;results reproduction.</p> <p>*The files have been compressed using <a href="https://www.7-zip.org/">7-zip</a>.</p>