Generating Mobility-Aware Traces for IoT Applications
Résumé
This demonstration introduces a set of tools that enables the reproducible generation of traces for IoT applications taking into account mobility and fine-grained instantaneous energy consumption information. Our setup leverages the FIT IoT-Lab open testbed and its hundreds of nodes to enable researchers to remotely build datasets for their custom IoT/Edge scenarios. We demonstrate this through a sample scenario composed of 100 IoT nodes belonging to 3 mobility-aware applications and make the resulting datasets available to the community. The generation of these kinds of traces is important for designing and evaluating accurate mobility aware offloading algorithms for IoT and Edge Computing and, more specifically, for training Artificial Intelligence models.