In smart cities, vehicular ad-hoc networks (VANETs) will play an important role with the development of security and smart vehicle video surveillance services. With the smart components, multimedia communication drivers over VANETs allow passengers to capture live scenes, share and access on-wheel multimedia services. In this study, I present an application that provides multiple services in a smart city VANET. I suggest Since, the main concern of video streaming transmission in such a highly dynamic environment is to increase the quality of experience (QoE). The massive growth of Big Data and the evolution of Internet of Things (IoT) technologies enable cities to gain valuable intelligence from large amounts of real-time generated data. In a smart city, various IoT devices sequentially generate streams of data that need to be analyzed in a short period of time; Some use big data techniques. Distributed Stream Processing Framework (DSPF) has the ability to handle real-time data processing for smart cities. According to our results, selecting a proper structure in the data analytics layer of a smart city requires sufficient knowledge about the characteristics of the target applications. The Internet of Vehicles( IoV) enabled vehicles to exchange information with roadside units (RSU) with minimum or zero human intervention. This autonomous nature of IoV requires strong authentication for each entity to recognize each other, as well as these entities, should ensure the integrity of the exchanged information. Otherwise, this autonomy will attract malicious users and malicious activity. Due to the dynamic nature of the IoV network, it is almost impossible to solve the Cyber Security issue with the centralized authentication system throughput.
Key words: smart cities, VANET, quality of experience (QoE), Internet of Things (IoT), Distributed Stream Processing Framework (DSPF)
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