Call for Papers

The growth of the internet of things (IoT) is making dramatic impact in both household and industry settings. The term industrial Internet of things (IIoT) is often encountered in the manufacturing industries, referring to the industrial subset of the IoT. Specifically, IIoT is a new ecosystem that combines intelligent and autonomous machines, advanced predictive analytics, and machine-human collaboration to improve productivity, efficiency and reliability. It brings about a world where smart, connected embedded systems and products operate as part of larger systems.

IIoT connects billions of mobile digital devices, manufacturing machines, industrial equipment, etc., and generates an unprecedented volume of industrial data. It will consume much network bandwidth and increase latency to move the large amount of data from industrial network edge to a central data center. Thus, IIoT with a centralized data center may not have the ability to support prompt data analysis, e.g., smart applications for making good and timely responses. To solve this issue, edge computing has been proposed to connect IIoT devices and their remote data center.

Apart from the above basic requirements of network latency and bandwidth, these IIoT-enabled smart applications are often in demand of capabilities of self-monitoring, self-diagnosing, self-healing, self-directing, etc. Thus, integrating intelligence into edge is without doubt a promising development trend. New machine learning engines are expected for emerging edge computing frameworks in IIoT, but limited research efforts have been made in Edge Intelligence for IIoT so far. The scope of this special issue is to present and highlight the advances and the latest intelligent technologies, implementations and applications in the field of edge-based IIoT, so as to move the theoretical and practical frontiers forward for a deeper understanding from both academic and industrial viewpoints. 

Possible topics include but are not limited to:

• Analytics architectures, frameworks, and models for intelligent edge-based IIoT
• Theory, standards, protocols, and strategies for intelligent edge-based IIoT
• Intelligent communication technologies for mobile, wireless, wired edge-based IIoT
• Security and privacy in edge intelligent IIoT
• Machine learning based optimization methods for edge intelligent IIoT
• Data mining and knowledge discovery based on big data analysis from the aspect of edge-based IIoT 
• Intelligent decision-making systems for edge-based IIoT
• Human and machine intelligence fusion in the edge-based IIoT

Submission Guidelines

Manuscripts should conform to the standard format as indicated in the Information for Authors section of the Paper Submission Guidelines.

All manuscripts to be considered for publication must be submitted by the deadline through Manuscript Central. Select the “September 2019: Edge Intelligence for Industrial Internet of Things” topic from the drop-down menu of Topic/Series titles.

Important Dates

Manuscript Submission Deadline: 15 December 2018
First Revisions/Reject Notification: 1 March 2019
Decision Notification: 1 May 2019
Final Manuscript Due: 1 June 2019
Publication Date: September 2019

Guest Editors

Song Guo
Hong Kong Polytechnic University, Hong Kong

Kun Wang
Nanjing University of Posts and Telecommunications, China

Giovanni Pau
Sorbonne Université, France

Ammar Rayes
Cisco Systems, USA