Premium
A mobile edge computing/software‐defined networking‐enabled architecture for vehicular networks
Author(s) -
Muthanna Ammar,
Shamilova Regina,
Ateya Abdelhamied A.,
Paramonov Alexander,
Hammoudeh Mohammad
Publication year - 2019
Publication title -
internet technology letters
Language(s) - English
Resource type - Journals
ISSN - 2476-1508
DOI - 10.1002/itl2.109
Subject(s) - computer science , software defined networking , computer network , scalability , mobile edge computing , network architecture , edge computing , enhanced data rates for gsm evolution , vehicular ad hoc network , distributed computing , architecture , wireless ad hoc network , wireless , server , operating system , telecommunications , art , visual arts
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.