Abstract
The collection of Floating Car Data (FCD) is very important for dynamic traffic forecasts. For this purpose, sensor notes in cars are supposed to transmit traffic information via Long Term Evolution (LTE). In this paper, we evaluate this data transmission with regard to several Key Performance Indicators (KPIs) for a channel aware transmission. These indicators are the negative impact on human communication, the power consumption of the mobile devices and the local distribution of cars sending FCD in the scenario. As methodology for performance evaluation a close-to-reality parameterized Markovian model, laboratory data rate as well as power consumption measurements and ray tracing simulations are used. By applying channel aware transmission the Quality of Service (QoS) level of human communication can be obtained and simultaneously the power consumption is significantly reduced. In addition, the fraction of active FCD devices on the highway can be increased.
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