A mobile edge computing/software-defined networking-enabled architecture for vehicular networks

Ammar Muthanna; Regina Shamilova; Abdelhamied A. Ateya; Alexander Paramonov; Mohammad Hammoudeh

doi:10.1002/itl2.109

A mobile edge computing/software-defined networking-enabled architecture for vehicular networks

Ammar Muthanna^*
, Regina Shamilova
, Abdelhamied A. Ateya
, Alexander Paramonov
, Mohammad Hammoudeh

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

21 Scopus citations

Abstract

This paper presents a system architecture to address the traffic density and the network coverage open research challenges in vehicular networks. This architecture adopts mobile edge computing (MEC) and software-defined networking (SDN) technologies to increase the overall network reliability and scalability under high traffic density conditions. Then, a device-to-device (D2D) clustering method is described to provide network coverage for orphan nodes. The proposed architecture offers a reliable structure to support ultra-low latency applications. Evaluation results using realistic conditions for various network scenarios show that the proposed MEC/SDN-enabled vehicular network architecture achieves performance gains of up to 74% in terms of task blocking compared to its baseline implementation.

Original language	English
Article number	e109
Journal	Internet Technology Letters
Volume	3
Issue number	6
DOIs	https://doi.org/10.1002/itl2.109
State	Published - 1 Nov 2020
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2019 John Wiley & Sons, Ltd.

Keywords

D2D
MEC
SDN
clustering
coverage
traffic
vehicular networks

ASJC Scopus subject areas

Software
Information Systems
Computer Networks and Communications
Artificial Intelligence

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10.1002/itl2.109

Cite this

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abstract = "This paper presents a system architecture to address the traffic density and the network coverage open research challenges in vehicular networks. This architecture adopts mobile edge computing (MEC) and software-defined networking (SDN) technologies to increase the overall network reliability and scalability under high traffic density conditions. Then, a device-to-device (D2D) clustering method is described to provide network coverage for orphan nodes. The proposed architecture offers a reliable structure to support ultra-low latency applications. Evaluation results using realistic conditions for various network scenarios show that the proposed MEC/SDN-enabled vehicular network architecture achieves performance gains of up to 74\% in terms of task blocking compared to its baseline implementation.",

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AU - Ateya, Abdelhamied A.

AU - Paramonov, Alexander

AU - Hammoudeh, Mohammad

PY - 2020/11/1

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AB - This paper presents a system architecture to address the traffic density and the network coverage open research challenges in vehicular networks. This architecture adopts mobile edge computing (MEC) and software-defined networking (SDN) technologies to increase the overall network reliability and scalability under high traffic density conditions. Then, a device-to-device (D2D) clustering method is described to provide network coverage for orphan nodes. The proposed architecture offers a reliable structure to support ultra-low latency applications. Evaluation results using realistic conditions for various network scenarios show that the proposed MEC/SDN-enabled vehicular network architecture achieves performance gains of up to 74% in terms of task blocking compared to its baseline implementation.

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KW - coverage

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A mobile edge computing/software-defined networking-enabled architecture for vehicular networks

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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