2018/04/16 by Benjamin Sliwa, Thomas Liebig, Sliwa, Benjamin +7
Engineering · Computer Science · #Vehicular Ad Hoc Networks (VANETs) #Privacy-Preserving Technologies in Data #Mobile Crowdsensing and Crowdsourcing
paper · pdf · doi:10.48550/arxiv.1804.05533
Upcoming Intelligent Traffic Control Systems (ITSCs) will base their\noptimization processes on crowdsensing data obtained for cars that are used as\nmobile sensor nodes. In conclusion, public cellular networks will be confronted\nwith massive increases in Machine-Type Communication (MTC) and will require\nefficient communication schemes to minimize the interference of Internet of\nThings (IoT) data traffic with human communication. In this demonstration, we\npresent an Open Source framework for context-aware transmission of vehicular\nsensor data that exploits knowledge about the characteristics of the\ntransmission channel for leveraging connectivity hotspots, where data\ntransmissions can be performed with a high grade if resource efficiency. At the\nconference, we will present the measurement application for acquisition and\nlive-visualization of the required network quality indicators and show how the\ntransmission scheme performs in real-world vehicular scenarios based on\nmeasurement data obtained from field experiments.\n