Demonstration of Mobile Edge Cloud for 5G Connected Cars

Oleksandr Zhdanenko; Jianhui Liu; Roberto Torre; Stanislav Mudriievskiy; Hani Salah; Giang T. Nguyen; H. P.Frank Fitzek

doi:10.1109/CCNC.2019.8651783

Demonstration of Mobile Edge Cloud for 5G Connected Cars

Oleksandr Zhdanenko, Jianhui Liu, Roberto Torre, Stanislav Mudriievskiy, Hani Salah, Giang T. Nguyen, H. P.Frank Fitzek

Research output: Contribution to book/anthology/report/proceeding › Article in proceedings › Research › peer-review

11 Citations (Scopus)

Abstract

This demonstration shows 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.

Original language	English
Title of host publication	2019 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019
Number of pages	2
Publisher	IEEE
Publication date	2019
Article number	8651783
ISBN (Electronic)	9781538655535
DOIs	https://doi.org/10.1109/CCNC.2019.8651783
Publication status	Published - 2019
Event	16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019 - Las Vegas, United States Duration: 11 Jan 2019 → 14 Jan 2019

Conference

Conference	16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019
Country/Territory	United States
City	Las Vegas
Period	11/01/2019 → 14/01/2019

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10.1109/CCNC.2019.8651783

Cite this

@inproceedings{6e71706b44b44a87a7a2d108a5b22f9f,

title = "Demonstration of Mobile Edge Cloud for 5G Connected Cars",

abstract = "This demonstration shows 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.",

author = "Oleksandr Zhdanenko and Jianhui Liu and Roberto Torre and Stanislav Mudriievskiy and Hani Salah and Nguyen, {Giang T.} and Fitzek, {H. P.Frank}",

year = "2019",

doi = "10.1109/CCNC.2019.8651783",

language = "English",

booktitle = "2019 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019",

publisher = "IEEE",

note = "16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019 ; Conference date: 11-01-2019 Through 14-01-2019",

}

Zhdanenko, O, Liu, J, Torre, R, Mudriievskiy, S, Salah, H, Nguyen, GT & Fitzek, HPF 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

TY - GEN

T1 - Demonstration of Mobile Edge Cloud for 5G Connected Cars

AU - Zhdanenko, Oleksandr

AU - Liu, Jianhui

AU - Torre, Roberto

AU - Mudriievskiy, Stanislav

AU - Salah, Hani

AU - Nguyen, Giang T.

AU - Fitzek, H. P.Frank

PY - 2019

Y1 - 2019

N2 - This demonstration shows 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.

AB - This demonstration shows 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.

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U2 - 10.1109/CCNC.2019.8651783

DO - 10.1109/CCNC.2019.8651783

M3 - Article in proceedings

AN - SCOPUS:85063420829

BT - 2019 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019

PB - IEEE

T2 - 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019

Y2 - 11 January 2019 through 14 January 2019

ER -

Demonstration of Mobile Edge Cloud for 5G Connected Cars

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