Data Distribution in Ad-hoc Transport Network

The demands of the transport of goods and people have significantly increased over the years. Enormous pressure on efficiency is emerging forcing the systems to evaluate many data portions to select suitable journey avoiding jams, accidents, road closures, etc. It requires sophisticated data architecture and transfer in the ad-hoc network environment. This paper deals with the granularity management of the temporal system proposes a data sharing model based on the reliability, sensitivity, and precision of data providers. A new concept of the temporal benefit is introduced, which is consecutively evaluated in the experiment section. Optimization of the data flow by historical data aggregation and limitation of the data amount is a core part for the system decision making, whereas the time for data transferring is strictly limited.