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Title	Iot-Based Mobility Tracking For Smart City Applications
ID_Doc	33983
Authors	Gebru K.; Casetti C.; Chiasserini C.F.; Giaccone P.
Year	2020
Published	2020 European Conference on Networks and Communications, EuCNC 2020
DOI	http://dx.doi.org/10.1109/EuCNC48522.2020.9200941
Abstract	The proliferation of IoT devices and the growing deployment of 5G networks combine to provide the perfect ecosystem for advanced smart city use cases. In this paper, we address the possibility of detecting and quantifying flows of people on city streets thanks to deployment of commercial sensors, connected to the 5G network, that capture WiFi probes transmitted by people's smartphones. We first outline the motivation and challenges of such a scenario. Then, we illustrate our approach and present results derived from live measurements in a testbed deployed in the city of Turin within the 5G-EVE project. We show that we can quite accurately estimate transit flows by simply collecting anonymized MAC addresses and timestamps from smartphones of passers-by. © 2020 IEEE.
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