International Journal of Science, Engineering and TechnologyAuthors: Sasikanth Reddy Mandati
Abstract: The rapid proliferation of Internet of Things (IoT) devices has exposed fundamental limitations in traditional IT architectures, including centralized computing, static resource allocation, and monolithic software design. Modern IoT ecosystems demand scalable, resilient, and adaptive infrastructures capable of supporting massive device heterogeneity, mobility, and low-latency data processing. This review explores the convergence of wireless-first networking and cloud-native computing as a framework for next-generation IoT architectures. Wireless-first paradigms prioritize ubiquitous connectivity, mobility-awareness, and resilience under variable network conditions, while cloud-native principles encompassing microservices, containerization, edge-cloud orchestration, and automated deployment enable dynamic scaling and flexible application management. The article surveys technological enablers, including LPWAN, 5G/6G, edge/fog computing, SDN, and NFV, and examines critical concerns such as security, privacy, and interoperability. Additionally, it highlights diverse application domains, including smart cities, industrial automation, healthcare, and precision agriculture, demonstrating the practical impact of these paradigms. Finally, open challenges in scalability, energy efficiency, AI-driven orchestration, and standardization are discussed, providing directions for future research. By reframing IT fundamentals through a wireless-first and cloud-native lens, this review offers a comprehensive perspective on designing resilient, flexible, and intelligent IoT ecosystems capable of supporting the next generation of connected devices and applications.
DOI: https://doi.org/10.5281/zenodo.18000291
