IEEE Journal on Selected Areas in Communications, Special Issue on Design and Analysis of Communication Interfaces for Industry 4.0 - Call for Papers

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:

- Ultra-reliable Low-Latency Connectivity Interfaces for IIoT Networks
- Spectrum Management and Coexistence Issues for IIoT Networks
- Architecture and Protocols for IIoT Networks
- Novel ML methods for implementing Self-X capabilities in IIoT Networks
- Resource Allocation and Management for IIoT Networks
- Security, Privacy and Trust issues in IIoT deployments
- Interoperability and Convergence Issues for legacy OT and IIoT Networks
- 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: https://edas.info/newPaper.php?c=25987