Abstract
Abstract The development of Internet of Vehicles (IoVs) need to be supported by high-speed network and a large number of Internet of Things (IoT) technologies. In order to meet the requirements of different IoV applications, effective transmission quality is one of the necessary conditions for the development of IoV. Therefore, this study applies the concept of Fog computing and cloud computing to IoV to effectively transmit a large number of multimedia data and sensing data. Based on the architecture of Software-Defined Wireless Network (SDWN), the optimization algorithm is proposed to reduce the transmission latency through optimizing access point selection and the load balancing of the Service Function (SF). The simulation results shows that the proposed mechanisms can distribute the traffic evenly and find the optimal access point.
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