Internet of vehicles in big data era

TLDR

Rapid advances in automotive telematics are connecting modern vehicles through heterogeneous radio access technologies, enabling massive data exchange with their environment, and evolving traditional VANETs into the Internet of Vehicles (IoV), which promises efficient, intelligent transportation systems while generating vast amounts of diverse Big Data. This article investigates how IoV supports the transmission, storage, and computing of big data and how, in turn, big data benefits IoV through characterization, performance evaluation, and protocol design, including applications to autonomous vehicles and emerging issues. The authors analyze the interplay between IoV and big data by examining data flow, storage, computing, and performance metrics,.

Abstract

As the rapid development of automotive telematics, modern vehicles are expected to be connected through heterogeneous radio access technologies and are able to exchange massive information with their surrounding environment. By significantly expanding the network scale and conducting both real time and long term information processing, the traditional Vehicular Ad-Hoc Networks (VANETs) are evolving to the Internet of Vehicles (IoV), which promises efficient and intelligent prospect for the future transportation system. On the other hand, vehicles are not only consuming but also generating a huge amount and enormous types of data, which are referred to as Big Data. In this article, we first investigate the relationship between IoV and big data in vehicular environment, mainly on how IoV supports the transmission, storage, computing of the big data, and in return how IoV benefits from big data in terms of IoV characterization, performance evaluation and big data assisted communication protocol design. We then investigate the application of IoV big data for autonomous vehicles. Finally the emerging issues of the big data enabled IoV are discussed.