DATA INTEGRATION AND INTEROPERABILITY IN IOT: CHALLENGES, STRATEGIES AND FUTURE DIRECTION
Keywords:
Artificial Intelligence (AI), Blockchain, Data Integration, Edge Computing, Internet Of Things (IOT), Interoperability, StandardizationAbstract
The Internet of Things (IoT) has emerged as a transformative force in the digital era, interconnecting an ever-growing number of devices and systems. This paper explores the multifaceted challenges and innovative strategies in the realm of IoT data integration and interoperability. It delves into the technological hurdles, such as the heterogeneity of devices and standards, security and privacy concerns, scalability issues, and the pressing need for standardization and regulatory frameworks. The paper reviews current strategies, including middleware use, IoT platforms, APIs, and standard protocols, providing a comparative analysis of these approaches. It also discusses emerging technologies like AI, blockchain, and edge computing that are reshaping IoT data integration, alongside potential advancements in standardization and regulations. The paper identifies future challenges and opportunities in IoT, proposing areas for further research, including AI-driven predictive maintenance, blockchain for secure networks, standardization in communication protocols, ethical implications, and energy-efficient IoT devices. This comprehensive review and forward-looking perspective aim to guide future developments in the IoT ecosystem, highlighting the critical role of data integration and interoperability in realizing the full potential of IoT technologies.
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