ENE5AI Dataset (5G and Wi-Fi Mesh Mobility)

DOI

To explore the effectiveness of hybrid private 5G/Wi-Fi mesh networks used as mobile ad-hoc networks (MANETs), we conducted a real-world experiment in collaboration with the Paris Fire Brigade (Brigade des Sapeurs-Pompiers de Paris, BSPP), during a live rescue training exercise.

This dataset has been collected during this exercise and presents a realistic emergency response conditions in a subterranean environment. It provides mobility traces and connectivity logs and is made openly available to support further research in the field of resilient and mobile networking for public safety applications.

Sources and details are available in the Git repository: https://gitlab.lip6.fr/ene5ai/logs

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Identifier
DOI https://doi.org/10.57745/DFMCYS
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.57745/DFMCYS
Provenance
Creator Peugnet, Nicolas (ORCID: 0009-0002-4150-200X); Fladenmuller, Anne ORCID logo; Nguyen, Thi-Mai-Trang ORCID logo; Kervella, Brigitte (ORCID: 0000-0002-7967-378X)
Publisher Recherche Data Gouv
Contributor Peugnet, Nicolas; Gandi; Brigade des sapeurs-pompiers de Paris (BSPP); Green Communications; Syed, Mohammad Imran; Ouali, Kaouthar; Sorbonne Université; Centre national de la recherche scientifique; Entrepôt Recherche Data Gouv
Publication Year 2025
Rights etalab 2.0; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/etalab-2.0.html
OpenAccess true
Contact Peugnet, Nicolas (LIP6 ; Sorbonne Université, CNRS ; France)
Representation
Resource Type Dataset
Format application/zip; text/markdown
Size 81277740; 178079843; 19362
Version 1.0
Discipline Computer Science; ['Emergency communication systems']; ['IEEE 802 11 Standard']
Spatial Coverage Sorbonne Université, Campus Pierre et Marie Curie, 4 place Jussieu 75005 Paris