Information processing method on end devices of industrial internet of things

Abstract

This research explores innovative strategies for optimizing information processing within Industrial Internet of Things (IIoT) frameworks by integrating cloud, fog, and edge computing paradigms. A comprehensive architecture is proposed to enhance data processing efficiency, enable realtime decision-making, and elevate system performance in industrial contexts. The methodology involves designing tailored data processing algorithms for end devices, and assessing performance through simulations, and empirical experiments. By synergizing cloud, fog, and edge computing technologies, this research aims to revolutionize IIoT systems in industrial settings, offering insights for future advancements in data processing methodologies and practical implications for enhanced efficiency and scalability.