Rapport (Rapport Technique) Année : 2024

D2.2a: Measurement infrastructure deployment and raw data collection

Nadjib Achir
Anne Fladenmuller

Résumé

One of the challenging tasks of the Mitik project is to determine how many sniffers should be deployed and where to deploy them. In this deliverable, we present an efficient sniffers' placement strategy using a graph theory approach. We validated this approach in large and small-scale simulated scenarios enhanced with realistic datasets, i.e., TAPASCologne and Bologne datasets. Besides this theoretical study, we also present the results of our first experimental campaign. We carried out four trace collection campaigns in two locations within the University of La Rochelle. These experiments allowed us to obtain the first urban real-world datasets we used in Mitik studies and to get feedback from real deployment.

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hal-04995688 , version 1 (18-03-2025)

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  • HAL Id : hal-04995688 , version 1

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Nadjib Achir, Aline Carneiro Viana, Marcelo Dias de Amorim, Fernando Dias de Melo Silva, Anne Fladenmuller, et al.. D2.2a: Measurement infrastructure deployment and raw data collection. D2.2a, Sorbonne Université (Paris, France); Inria Saclay - Île de France; La Rochelle Université, France. 2024. ⟨hal-04995688⟩
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