AI-Enabled Smart Sensors for Industrial IoT: A Secure and Scalable Framework for Data-Driven Decision Making
DOI:
https://doi.org/10.63282/3050-9416.IJAIBDCMS-V2I4P103Keywords:
AI-enabled smart sensors, Industrial IoT, edge computing, cloud computing, real-time data processing, predictive analytics, security mechanisms, machine learning, deep learning, scalabilityAbstract
The integration of Artificial Intelligence (AI) with smart sensors in the context of Industrial Internet of Things (IIoT) has revolutionized the way industries operate, enabling real-time data collection, analysis, and decision-making. This paper presents a comprehensive framework for AI-enabled smart sensors in IIoT, focusing on security, scalability, and data-driven decision-making. The proposed framework leverages advanced AI techniques, such as machine learning and deep learning, to enhance the performance and reliability of smart sensors. We also address the critical issues of data security and privacy, ensuring that the framework is robust against various cyber threats. The paper includes a detailed analysis of the proposed framework, supported by experimental results and a case study. we provide a comparative analysis with existing solutions and discuss future research directions
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