[hpc-announce] [CFP - IEEE TII: June 30!] Special Section on Digital Twin for Industrial Internet of Things, IEEE Transactions on Industrial Informatics

[alcaraz]

*** CALL FOR PAPERS ***

[Apologies for cross-posting]

* IEEE Transactions on Industrial Informatics *
* Special Section on Digital Twin for Industrial Internet of Things *


Dear Colleagues,

I would like to invite you to submit your latest research results to our 
Special Section on Digital Twin for Industrial Internet of Things at 
IEEE Transactions on Industrial Informatics.

Deadline: 
http://www.ieee-ies.org/pubs/transactions-on-industrial-informatics
Link: 
http://www.ieee-ies.org/images/files/tii/ss/2022/Digital_Twin_for_Industrial_Internet_of_Things_2022-1-22.pdf?v=2

Industrial IoT can revolutionize industrial operation by interconnecting 
numerous machines, analytics sectors, and people at work. Through a deep 
cooperation of these components, industrial IoT brings new business 
opportunities and incredible productivity to applications such as smart 
robotics, future factories, and automotive manufacturing. The success of 
industrial IoT relies on the dynamic perception and intelligent 
decision-making, which is difficult to conceive due to the heterogeneous 
industrial devices, the complex industrial environment, and the 
sophisticated business operation strategy. Digital twin, as an emerging 
digitalization technology, provides a feasible solution to capture the 
complex industrial environment and make predictive strategies. It builds 
a virtual representation of industrial entities and manufacturing 
process, updated with the physical entities at a specified fidelity and 
frequency. For example, for industrial manufacturers, digital twins can 
create digital models of substantial machines, to help us make holistic 
understanding of how these machines work, make possible modification or 
predictive maintenance, and take effective actions before devoting much 
resources and expenditure.

The integration of digital twins and the industrial IoT enables a 
digital revolution of industrial automation. Researchers from industry 
and academia have focused on the virtualization and digitalization of 
industrial objects, while there are yet a number of challenges like 
high-fidelity modularity of digital twins, synchronization between 
digital and physical objects, interaction and networking among digital 
twins, scalable and resilient design of digital twin for industrial IoT. 
To fill the gap, this special section solicits high quality and 
unpublished work on recent advances in Digital Twins for Industrial IoT.

- New computing architecture for digital twin in industrial IoT
- New communication mechanisms for digital twin in industrial IoT
- New scalable and resilient digital twin for industrial IoT
- Advanced AI/ML models for digital twins in industrial IoT
- Advanced data mapping-communication-computation architecture for 
digital twins empowered industrial IoT
- Advanced softwarization and virtualization technologies for digital 
twin in industrial IoT
- Advanced networking among digital twins for industrial IoT
- Fault tolerance for digital twin in industrial IoT
- Cross layer design for digital twin in industrial IoT
- QoS/QoE improvement for digital twins empowered industrial IoT
- Performance analysis of digital twins for industrial IoT
- Resource allocation/management for digital twins empowered industrial 
IoT
- Applications and testbeds of digital twin for industrial IoT

Timeline:
Manuscript Submission:  June 30, 2022
Expected Publication Date:  October 2022

Guest Editors:
• Prof. Yan Zhang, University of Oslo, Norway, yanzhang at ieee.org
• Prof. Wen Sun, Northwestern Polytechnical University, China, 
sunwen at nwpu.edu.cn
• Prof. Cristina Alcaraz, University of Malaga, Spain, alcaraz at uma.e

Manuscript Preparation and Submission:
Follow the guidelines in “Information for Authors” in the IEEE 
Transaction on Industrial Informatics 
http://www.ieee-ies.org/pubs/transactions-on-industrial-informatics. 
Please submit your manuscript in electronic form through Manuscript 
Central web site: https://mc.manuscriptcentral.com/tii. On the 
submitting page #1 in popup menu of manuscript type, select: SS on 
Digital Twin for Industrial Internet of Things.

Submissions to this Special Section must represent original material 
that has been neither submitted to, nor published in, any other journal. 
Regular manuscript length is 8 pages.

Note: The recommended papers for the section are subject to final 
approval by the Editor-in-Chief. Some papers may be published outside 
the special section, at the EIC discretion.