IoT in the Era of 5G, AI, and Edge Computing: Architectures, Applications, and Security Perspectives

Abstract

The Internet of Things (IoT) has evolved from a theoretical framework into a globally pervasive technological paradigm underpinning digital transformation across industries. It forms a complex cyber-physical ecosystem of billions of heterogeneous devices—ranging from nanoscale sensors to industrial controllers—interconnected through wired and wireless infrastructures to enable distributed data acquisition, analysis, and actuation in real time. Recent projections indicate that more than 30 billion active IoT devices generate over 79 zettabytes of data annually, a growth driven by advances in miniaturised electronics, energy-efficient system-on-chips, and cloud-edge orchestration frameworks. Built on the principles of distributed computing and embedded control, IoT systems capture and digitise physical phenomena via protocols such as MQTT and CoAP, process them through intelligent algorithms at the edge or in the cloud, and act autonomously to support time-critical decision-making in fields like smart manufacturing, precision agriculture, and telemedicine. Despite rapid adoption, challenges persist in scalability, interoperability, and security, especially among constrained devices lacking trusted hardware and standardised protection mechanisms. Addressing these issues requires integrated architectures that unify communication, computation, and cybersecurity. This paper provides a comprehensive review of IoT architectures, enabling technologies, and cross-domain applications; analyses key enablers including 5G, edge computing, artificial intelligence, and blockchain; and explores future trajectories involving 6G, quantum-AI integration, and neuromorphic systems. Collectively, the study positions IoT as a foundational pillar of intelligent, sustainable, and human-centric digital ecosystems.