Demonstration of Mobile Edge Cloud for 5G Connected Cars
| Autor: | Roberto Torre, Hani Salah, Stanislav Mudriievskiy, Giang T. Nguyen, Oleksandr Zhdanenko, H. P. Frank Fitzek, Jianhui Liu |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Computer science
business.industry 010401 analytical chemistry Real-time computing 020206 networking & telecommunications Cloud computing 02 engineering and technology 01 natural sciences 0104 chemical sciences Base station Server 0202 electrical engineering electronic engineering information engineering business 5G |
| Zdroj: | Zhdanenko, O, Liu, J, Torre, R, Mudriievskiy, S, Salah, H, Nguyen, G T & Fitzek, H P F 2019, Demonstration of Mobile Edge Cloud for 5G Connected Cars . in 2019 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019 ., 8651783, IEEE, 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019, Las Vegas, United States, 11/01/2019 . https://doi.org/10.1109/CCNC.2019.8651783 2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC) CCNC |
| DOI: | 10.1109/CCNC.2019.8651783 |
| Popis: | This demonstration aims to show both the utility of Mobile Edge Cloud (MEC) for 5G connected cars, as well as the impact of MEC server selection (i.e. migration) strategy on latency. The demonstration simulates cars moving according to a realistic model inside the city of Munich, and implements different MEC server selection strategies. A player can steer an ambulance using a controller, and can also choose one among four server selection strategies while driving. With each strategy, the player will experience a different latency. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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