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

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.