****************************************************************************

Call for Papers

*****************************************************************************

*IEEE JSAC Special Issue on:*

*Design and Analysis of Communication Interfaces for Industry 4.0*

*****************************************************************************

https://www.comsoc.org/publications/journals/ieee-jsac/cfp/design-and-analysis-communication-interfaces-industry-40





The fourth industrial revolution also referred to as Industry 4.0 aims to
integrate advanced manufacturing techniques with the Internet-of-Things
(IoT) to create an agile digital manufacturing ecosystem. The key idea is
to provide a higher level of automation by combining technologies such as
Industrial IoT (IIoT), cloud computing, machine learning (ML) and advanced
robotics to enable the creation of interconnected, responsive, intelligent
and self-optimizing manufacturing processes and systems. The increased
automation can:

   1. Significantly enhance "operational efficiency" through real-time
   process analytics or even end-to-end process control.
   2. Significantly enhance "overall productivity" by realizing
   zero-downtime through proactive maintenance via the implementation of
   ‘digital twins'.

Implementation of either real-time process analytics or digital twining is
geared to generate a huge volume of heterogeneous data flows. Consequently,
the design of communication interfaces to support inter-connectivity must
be optimized to enable convergence between legacy operations technology
(OT) and next-generation IIoT.



This special issue solicits original research papers focused on Design and
Analysis of:



1. Ultra-reliable Low-Latency Connectivity Interfaces for IIoT Networks 2.
Spectrum Management and Coexistence Issues for IIoT Networks 3.
Architecture and Protocols for IIoT Networks 4. Novel ML methods for
implementing Self-X capabilities in IIoT Networks 5. Resource Allocation
and Management for IIoT Networks 6. Security, Privacy and Trust issues in
IIoT deployments 7. Interoperability and Convergence Issues for legacy OT
and IIoT Networks 8. Application and Deployment Specific Issues for IIoT
Networks



*Submission Guidelines*

All submissions have to be prepared according to the Information for
Authors as published in the Journal website and must be submitted via EDAS.



*Important Dates*

Manuscript Due: 15th July 2019 (Final Deadline)

Acceptance Notification: 30 September 2019 Final Manuscript Due: 15
November 2019 Expected Publication of the Special Issue: First/Second
Quarter 2020



*Guest Editors*

Syed A. R. Zaidi

University of Leeds, UK



Muhammad Zeeshan Shakir

University of the West of Scotland, UK



Antonio J. Jara

University of Applied Sciences Western Switzerland



Yunchuan Sun

Beijing Normal University, China



Rohit Ail

Samsung Technology Research, UK



Houbing Song

Embry-Riddle Aeronautical University, USA



Sid Chi-Kin Chau

Australian National University, Australia
Please consider the environment and think before you print.

The University of the West of Scotland is a registered Scottish charity.
Charity number SC002520.

This e-mail and any attachment is for authorised use by the intended
recipient(s) only. It may contain proprietary material, confidential
information and/or be subject to legal privilege. It should not be copied,
disclosed to, retained or used by, any other party. If you are not an
intended recipient then please promptly delete this e-mail and any
attachment and all copies and inform the sender.

Please note that any views or opinions presented in this email are solely
those of the author and do not necessarily represent those of the
University of the West of Scotland.

As a public body, the University of the West of Scotland may be required to
make available emails as well as other written forms of information as a
result of a request made under the Freedom of Information (Scotland) Act
2002.

-- 
Dr. S. A. R. Zaidi
University Academic Fellow (Assistant Professor)
Institute of Robotic, Autonomous Systems and Sensing
School of Electronic and Electrical Engineering
University of Leeds

Phone: +44(0)113 343 2009
Email: s.a.zaidi@leeds.ac.uk
IEEE Communications Society Tech. Committee on Computer Communications
http://committees.comsoc.org/tccc/
TCCC Announce: For announcements concerning computer networking and communications.
tccc-announce@comsoc.org
https://comsoc-listserv.ieee.org/