Internet of Things, big data and the economics of networked vehicles

Günter Knieps

Telecommunications Policy, 2019, vol. 43, issue 2, 171-181

Abstract: The evolution of special purpose standards for networked vehicles towards IP based communication networks and the high-volume data processing requirements call for the introduction of a new concept – the big data virtual network. The virtual network operator, which may be integrated with the operators of networked vehicle applications, combines sensor and camera devices with big data, either using large data centers (cloud computing) or local processing (fog computing), and complementary QoS (Quality of Service) differentiated bandwidth capacities from the all-IP network. The growing importance of camera-based sensors as well as geo-awareness requirements create a need for more pronounced QoS differentiated bandwidth as well as big data processing efforts. In particular, combining QoS differentiated all-IP bandwidth capacities with local data processing within the edge cloud constitutes a new task for big data virtual network service providers, enabling deterministic guarantees for ultra-low latencies required for networked fully automated (driverless) vehicles.

Keywords: Internet of Things; Networked vehicles; Big data; Cloud; Fog computing; Sensor networks; Automated driving; Virtual networks (search for similar items in EconPapers)
JEL-codes: L51 L92 L96 O31 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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DOI: 10.1016/j.telpol.2018.09.002

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