IoT-based Mobility Tracking for Smart City Applications
| Autor: | Carla-Fabiana Chiasserini, Claudio Casetti, Paolo Giaccone, Kalkidan Gebru |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Computer science
business.industry 5G-EVE WiFi Testbed 020206 networking & telecommunications 02 engineering and technology 5G mobility monitoring people flow monitoring sensor networks WiFi 5G-EVE sensor networks Software deployment Smart city mobility monitoring 11. Sustainability 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Use case Timestamp business people flow monitoring Wireless sensor network Transit (satellite) 5G Computer network |
| Zdroj: | EuCNC 2020 European Conference on Networks and Communications (EuCNC) |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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