Edge computing for Vehicle to Everything: a short review

Abstract

Vehicle-to-everything (V2X) communications and services have sparked considerable interest as a potential component of future Intelligent Transportation Systems. However, the large amount of data generated by V2X communications can pose challenges for processing and distribution. Edge computing (EC) is a promising solution to these challenges, as it allows part or all of the data processing to be performed at the edge of the network, closer to the data sources. This paper reviews the existing literature on EC for V2X communications and services. We focus on several methods for implementing EC, including mobile edge computing, cloudlet, and fog computing. We compare them according to their applicability to V2X. The findings of this work indicate that EC can be a feasible solution for V2X communications and services. However, there are still some challenges that need to be addressed, such as the need for more efficient data processing algorithms and the need for a more comprehensive understanding of the trade-offs between EC and other solutions. The outcome of this work could considerably help other researchers better characterize EC applicability for V2X communications and services.