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@article{194329,
        author = {Himanshu Sharma and Srushti Gaikwad and Anushka Jadhav and Zoya Khan and Shahid Patel},
        title = {Toward Connected Intelligence: A Comprehensive Study of 6G, IoT, and Edge Computing Integration},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {3829-3840},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=194329},
        abstract = {The convergence of the Sixth Generation (6G) wireless networks, the Internet of Things (IoT), and Edge Computing represents a paradigm shift in digital infrastructure, promising to transition the world from ”connected things” to ”connected intelligence.” As 5G networks reach maturity, the exponential growth of data-intensive IoT applications ranging from autonomous driving to holographic telemedicine has exposed the limitations of current cloud-centric architectures. This paper provides a comprehensive review of the symbiotic relationship between 6G, IoT, and Edge Computing. We analyze the architectural evolution required to support sub-millisecond latency and Terabit-level throughput, utilizing key technologies such as Terahertz (THz) communication, Federated Learning (FL), and Reconfigurable Intelligent Surfaces (RIS). Furthermore, we critically examine the challenges of energy efficiency, security, and standardization. By synthesizing recent literature and proposing a novel multi-tier architecture, this study aims to provide a roadmap for researchers and practitioners navigating the 6G-IoT-Edge continuum. Index Terms 6G Networks, Edge Computing, Internet of Things (IoT), Edge Intelligence, Terahertz Communication, Federated Learning, Ultra-Reliable Low-Latency Communication (URLLC).},
        keywords = {},
        month = {March},
        }