Development of Edge Computing Distribution Method in VANET Based Real-Time Systems

This paper describes VANET network architecture based on SDN/MEC systems to reduce network load and traffic density. In this work, we examined the possibility of temporarily placing the application to the RSU for reducing the load on the network backhaul. The condition for temporary placement of the application is based on data on congestion of road sections from Google Map & Yandex monitoring systems and current Internet traffic statistics. The proposed architecture allows optimal use of the RSU/MEC resources and significantly reduces the load on the backhaul and Latency. © 2019 IEEE.

Authors
Abdukodir K. 1 , Muthanna A. 1 , Ibodullokhodzha I.2 , Ateya A.A. 3 , Koucheryavy A. 4
Conference proceedings
Proceedings of the 2019 IEEE International Conference on Electrical Engineering and Photonics, EExPolytech 2019
Publisher
Institute of Electrical and Electronics Engineers Inc.
Language
English
Pages
120-123
Status
Published
DOI
10.1109/EExPolytech.2019.8906806
Number
8906806
Year
2019
Organizations
  • 1 Peoples' Friendship University of Russia, RUDN University, Department of Applied Probability and Informatics, Moscow, Russian Federation
  • 2 National Research University Higher, School of Economics, Moscow, Russian Federation
  • 3 Zagazig University, Department of Electronics and Communications Engineering, Zagazig, Egypt
  • 4 St. Petersburg State University of Telecommunication, St. Petersburg, Russian Federation
Keywords
5G; Google map; MEC; SDN; VANET
Date of creation
24.12.2019
Date of change
24.12.2019
Short link
https://repository.rudn.ru/en/records/article/record/54993/
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