Table of Content

Smart Industrial Internet of Things: Opportunities by Linking Cloud, Edge, and Blockchain Technologies

Submission Deadline: 31 January 2021 (closed)

Guest Editors

Prof. Shengzong Zhou, Chinese Academy of Sciences, China
Prof. Xuesong Xu, Hunan University of Technology and Business, China
Prof. Kuo-Hui Yeh, National Dong Hwa University, China
Dr. Mohammad Khosravi, Persian Gulf University, Iran


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.


• Emerging applications of the IoT in industry, transportation, energy, manufacturing, and other related fields
• Cloud, edge, and fog computing for the IIoT: resource allocation and management, network slicing, etc
• Distributed computing architectures/algorithms/models between Cloud and edge for the IIoT
• Energy-efficient processing between the edge and IIoT devices
• High-performance industrial wireless and wired communications
• Performance evaluation of blockchain and decentralized schemes for the IoT
• Smart contract and distributed ledger for IIoT devices and data management
• Distributed consensus on resource-limited IIoT devices
• Security of blockchain and decentralized schemes for the IIoT
• Real-time data storage, distribution, and analytics

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