Abstract
In the emerging 5G communication systems, the need for advanced data handling technologies will be more crucial than ever. In addition, handling data generated by Internet of Things (IoT) is a promising challenge for both scientists and business. Internet of Vehicles (IoV) is a key member of the Internet of Things (IoT) family to improve road safety and improve driving experience. In this vision, collecting and processing Big data generated by vehicles is a real challenge in the specific context of vehicles. Big data means that data cannot be handled by conventional information systems. The volume of data in the Big data era is such that it cannot be loaded into a single machine. It also implies that most traditional methods of data mining and data analysis developed for centralized architectures will not be applicable. In this context, this chapter discuss the interaction of Internet of vehicles and Big data technologies. First, we present the evolution of IoV and its features. Second, we discuss the data life cycle and big data challenges in vehicular context. Finally, IoV Big data and data model are discussed.
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Kamouch, A., Chaoub, A., Guennoun, Z. (2018). Mobile Big Data in Vehicular Networks: The Road to Internet of Vehicles. In: Skourletopoulos, G., Mastorakis, G., Mavromoustakis, C., Dobre, C., Pallis, E. (eds) Mobile Big Data. Lecture Notes on Data Engineering and Communications Technologies, vol 10. Springer, Cham. https://doi.org/10.1007/978-3-319-67925-9_6
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