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As mobile data grows rapidly, carriers must intelligently manage network traffic. Due to economic realities and the physical limitations of the available spectrum, operators cannot add more network capacity. To satisfy investors, operators must maximise their service returns. The more services a subscriber receives, which costs more, the higher their expectations of acceptable network availability and quality. So it becomes very challenging for operators to provide QoS to their high-value subscribers and manage network traffic dynamically without impacting the user experience of their potential and key users. In this paper, all literature surveys are carried out on different schemes and solutions to manage mobile data networks' profiles. This paper aims to identify an effective way of managing real-time data traffic by adjusting QoS/profile parameters dynamically so that high-value subscribers get better QoS during congestion than regular users.

Nowadays, the term Internet of Vehicles (IoV) has gained popularity among researchers. We are in the era of smart things, smart cities, smart homes, smart transport and smart home appliances, which has been realised due to the Internet of Things (IoT). With the advent of smart cars and emerging communication technologies among vehicles, IoV has become the field of research and thereby attracted several vehicle industries and researchers. Internet of Vehicles is amalgamation of Vehicular Ad Hoc Network (VANET) with IoT. Several research challenges need to be addressed for the development of an efficient transportation system using IoV. In this paper, the architecture of IoV is presented with five layers and a simple network model of IoV. Recent trends of IoV are discussed in this paper and are tabulated to present state of art advancements and future trends in IoV.