Exploiting mobile edge computing for enhancing vehicular applications in smart cities

Hesham El‐sayed, Moumena Chaqfeh

Research output: Contribution to journalArticlepeer-review

Abstract

Mobile edge computing (MEC) has been recently proposed to bring computing capabilities closer to mobile endpoints, with the aim of providing low latency and real‐time access to network information via applications and services. Several attempts have been made to integrate MEC in intelligent transportation systems (ITS), including new architectures, communication frameworks, deployment strategies and applications. In this paper, we explore existing architecture proposals for integrating MEC in vehicular environments, which would allow the evolution of the next generation ITS in smart cities. Moreover, we classify the desired applications into four major categories. We rely on a MEC architecture with three layers to propose a data dissemination protocol, which can be utilized by traffic safety and travel convenience applications in vehicular networks. Furthermore, we provide a simulation‐based prototype to evaluate the performance of our protocol. Simulation results show that our proposed protocol can significantly improve the performance of data dissemination in terms of data delivery, communication overhead and delay. In addition, we highlight challenges and open issues to integrate MEC in vehicular networking environments for further research.

Original languageEnglish (US)
Article number1073
JournalSensors (Switzerland)
Volume19
Issue number5
DOIs
StatePublished - Mar 1 2019

Keywords

  • Intelligent transportation systems (ITS)
  • Mobile edge computing (MEC)
  • Smart cities
  • Vehicular ad hoc networks (VANETs)
  • Vehicular edge computing (VEC)

ASJC Scopus subject areas

  • Analytical Chemistry
  • Biochemistry
  • Atomic and Molecular Physics, and Optics
  • Instrumentation
  • Electrical and Electronic Engineering

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