Submission Deadline: 31 January 2021 (closed) View: 99
The development of the Industry Internet, as well as the pervasiveness of the Internet of Things (IoT), have simulated further integration of the IoT in industrial scenarios and triggered extensive research on the Industrial Internet of Things (IIoT) paradigm, including application scenarios, such as intelligent manufacturing, smart factories, and smart energy grids. The IIoT focuses on ultra-reliable and ultra-low latency information delivery and enhanced features to enable time-sensitive operations. Handling the massive amount of data generated by different devices in an efficient, secure, and economical manner is a crucial research question. The existing centralized cloud computing-based architecture for handling a huge volume of IIoT data is facing many challenges, including those related to security, privacy, trustworthiness, and operational challenges.
In the computational field, edge/fog computing has been gaining popularity to leverage the enhanced capabilities of end devices, with the aim of increasing the quality, timeliness, and reliability of time-critical tasks. In addition, Blockchain has been perceived as a promising technique to solve the aforementioned problems and design a new decentralized IIoT framework. A common trend in both mentioned areas relates to the increased adoption of approaches based on Cloud, edge, and Blockchain technologies in order to improve the system adaptiveness to different applications and environments.
This special challenge requires thorough research on the IIoT system that combines cloud, edge, AI, and Blockchain technologies regarding key theories, innovative schemes, and application prospects.
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