Exploiting Mobile Edge Computing for Enhancing Vehicular Applications in Smart Cities

Author:

El-Sayed Hesham,Chaqfeh MoumenaORCID

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.

Publisher

MDPI AG

Subject

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

Reference48 articles.

1. High-Efficiency Urban Traffic Management in Context-Aware Computing and 5G Communication

2. The Future of Advanced-Edge Computing Is Actually in Autonomous Carshttp://www.recode.net/2017/3/14/14924892/autonomous-car-self-driving-cloud-fog-advanced-edge-computing

3. A novel load balancing strategy of software-defined cloud/fog networking in the Internet of Vehicles

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