Investigating Scope of Real-time Data Processing for IoT in 5G Revolution

This research examines 5G-enabled IoT devices’ real-time data processing capability and constraints. A thorough literary study helps understand current technologies, application situations, and industrial difficulties. Using clear research goals, the study discovers opportunities, obstacles, and solutions. Interviews, surveys, and literature gather primary and secondary data. A use case study examines the pros and cons of 5G -enabled IoT devices in real-world data processing situations. The technical examination evaluates 5G real-time data processing capabilities, concentrating on latency, reliability, and scalability. Case studies or simulations examine implementations, successes, problems, and best practices. The results suggest architectural and efficiency methods. Simulations or prototypes test solution efficacy and feasibility. Data analysis and interpretation show 5G-enabled IoT devices’ real-time data processing capabilities and limitations. This method allows researchers to advance the area and significantly affect industry and academic research and practice. We will analyse the design, implementation, and optimisation of 5G-enabled IoT systems for real-time data processing. This technology has tremendous possibilities and problems, which we shall study. We wish to promote innovation and enable the next generation of networked applications and services. The prior model employed conventional methods and had 89.1 % accuracy and 11.9 % inaccuracy. When employing the hybrid Bert model, accuracy climbed to 92.3% and error rate reduced to 7.7%.