Big Data–Driven Intelligent IoT Framework over 5G Networks for Real-Time System Optimization

Abstract

The convergence of Big Data analytics, Internet of Things (IoT), and fifth-generation (5G) wireless networks is transforming next-generation intelligent systems. IoT devices continuously generate massive volumes of heterogeneous data, requiring high-speed connectivity and intelligent analytics for real-time decision-making. Traditional network infrastructures and centralized processing models are insufficient to handle ultra-low latency, scalability, and reliability demands. This paper proposes a Big Data–driven intelligent IoT framework deployed over 5G networks for real-time system optimization. The framework integrates edge analytics, cloud-based big data processing, and AI-driven decision engines to improve latency, throughput, and adaptive resource allocation. Experimental analysis demonstrates improved performance in terms of response time, data processing efficiency, and network utilization compared to conventional IoT-cloud architectures. The proposed approach is suitable for smart cities, healthcare monitoring, industrial automation, and intelligent transportation systems.