This research proposes a unified architecture for Internet of Things (IoT) data management, analytics, and interoperability, leveraging blockchain technology. The proposed system integrates distributed data management, real-time analytics, semantic interoperability, privacy preservation, and machine learning. Empirical analysis of a dataset indicates that this blockchain-enabled approach significantly enhances scalability, data integrity, and analytical performance in large-scale IoT environments. AI
IMPACT Enhances scalability and data integrity for IoT systems, potentially improving the efficiency of AI models processing this data.
RANK_REASON The cluster contains an academic paper detailing a proposed architecture and its empirical analysis. [lever_c_demoted from research: ic=1 ai=0.7]
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