A dynamic priority strategy for IoV data scheduling towards key data

Abstract

With the rapid development of Internet of Vehicles (IoV) technology, IoV applications have been developed from their infant stage to intermediate stage, i.e. from primarily providing entertainment and navigation services to travel guidance and energy saving driving. As the communication technology determines the overall performance of IoV, we first elaborate the architecture of IoV and algorithms of communication schedule. To improve the efficiency and accuracy of information reception and processing, we then propose a new dynamic priority strategy towards key data. The strategy includes a framework of five parts which are the application layer, libraries, the scheduling layer, operation system and hardware. The five parts above have completed the processes of data sending, data transmission and data receiving. In terms of data transmission, a new formula for updating the priorities of data has been put forward along with a procedure for taking feedback into account. A series of experiments have been conducted to validate the performance of the newly proposed strategy. The results have showed that the priority strategy and the updating formula for the priorities are effective in IoV environment.