Design and Analysis of Communication Interfaces for Industry 4.0
摘要截稿:
全文截稿: 2019-07-01
影响因子: 11.42
期刊难度:
CCF分类: A类
中科院JCR分区:
• 大类 : 计算机科学 - 1区
• 小类 : 工程:电子与电气 - 1区
• 小类 : 电信学 - 1区
Overview
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:
Significantly enhance operational efficiency through real-time process analytics or even end-to-end process control.
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