Smart Animation Cities: Mobile Edge Computing and Big Data Analytics for Enhancing Interactive Animated Scenes and Characters

Abstract

The development of smart cities has become a cornerstone of modern urban planning, fostering an ecosystem where technology plays a vital role in improving the quality of life. The integration of Mobile Edge Computing (MEC) and Big Data Analytics has significantly enhanced the potential for creating interactive and dynamic environments. This paper explores the use of MEC and Big Data Analytics in the context of smart animation cities, focusing on how these technologies can be applied to enhance animated scenes and characters. By leveraging MEC’s capabilities, such as low-latency processing and real-time data analytics, interactive animated environments can be generated, where users’ real-time actions trigger instant changes in the animation. Big Data Analytics further elevates this experience by enabling predictive modeling and the customization of scenes and character behaviors based on data collected from users, environments, and city-wide sensors. This synergy between MEC and Big Data transforms static animations into personalized, immersive experiences that adapt to user preferences and actions. Moreover, the continuous stream of data allows for the creation of cities that evolve dynamically, offering rich, engaging animations with characters that interact more realistically, resembling the fluidity of a real-world urban ecosystem. The research emphasizes the potential for these technologies to revolutionize not only digital entertainment but also urban design, educational tools, and interactive simulations.