Distributed edge computing to assist ultra-low-latency VANET applications

Vehicular ad hoc networks (VANETs) are a recent class of peer-to-peer wireless networks that are used to organize the communication and interaction between cars (V2V), between cars and infrastructure (V2I), and between cars and other types of nodes (V2X). These networks are based on the dedicated short-range communication (DSRC) IEEE 802.11 standards and are mainly intended to organize the exchange of various types of messages, mainly emergency ones, to prevent road accidents, alert when a road accident occurs, or control the priority of the roadway. Initially, it was assumed that cars would only interact with each other, but later, with the advent of the concept of the Internet of things (IoT), interactions with surrounding devices became a demand. However, there are many challenges associated with the interaction of vehicles and the interaction with the road infrastructure. Among the main challenge is the high density and the dramatic increase of the vehicles' traffic. To this end, this work provides a novel system based on mobile edge computing (MEC) to solve the problem of high traffic density and provides and offloading path to vehicle's traffic. The proposed system also reduces the total latency of data communicated between vehicles and stationary roadside units (RSUs). Moreover, a latency-aware offloading algorithm is developed for managing and controlling data offloading from vehicles to edge servers. The system was simulated over a reliable environment for performance evaluation, and a real experiment was conducted to validate the proposed system and the developed offloading method. © 2019 by the authors.

Авторы
Vladyko A. 1 , Khakimov A.2 , Muthanna A. 2, 3 , Ateya A.A. 2, 4 , Koucheryavy A. 2
Журнал
Издательство
MDPI AG
Номер выпуска
6
Язык
Английский
Статус
Опубликовано
Номер
128
Том
11
Год
2019
Организации
  • 1 R and D Department, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, Saint Petersburg, 193232, Russian Federation
  • 2 Department of Telecommunication Networks and Data Transmission, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, Saint Petersburg, 193232, Russian Federation
  • 3 Department of Applied Probability and Informatics, Peoples' Friendship University of Russia (RUDN University), Moscow, 117198, Russian Federation
  • 4 Department of Electronics and Communications Engineering, Zagazig University, Zagazig, Sharqia, 44519, Egypt
Ключевые слова
5G; Latency; Mobile edge computing; Offloading; SDN; VANET
Дата создания
19.07.2019
Дата изменения
19.07.2019
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/38603/