Guest Editors
Dr. Thippa Reddy Gadekallu, Vellore Institute of Technology, India.
Dr. Rutvij H. Jhaveri, Pandit Deendayal Petroleum University, India.
Dr. Praveen Kumar Reddy M, Vellore Institute of Technology, India.
Summary
Cyber-Physical systems (CPSs), Internet-of-Things (IoT) and Machine-to-Machine (M2M) communication form foundation for the implementation of Industry 4.0. In this new era, the key foundation for success for manufacturing enterprises will be provided by efficient network management. In recent years, Software-Defined Networking (SDN) is envisioned as a promising technology in enabling efficient management and configuration of large and complex industrial networks. As SDN separates control plane from data plane, it improves the agility and scalability as compared to the traditional networks. Due to the abstraction of the network infrastructure from the applications, it provides an efficient and effective solution for centralizing the control and intelligence of a network. SDN has proven its potential in industrial communication between heterogenous devices due to its flexibility and capability. It paves the way in achieving efficient collection, transfer and analysis of huge amount of data in extremely efficient manner for smart factories. SDN provides global visibility in industrial communication networks which can fit numerous challenges of Industry 4.0. In addition, it has enormous potential to face upcoming challenges by providing better resource management, resilience management, improved security, better traffic management, improved scheduling and efficient routing in critical industrial applications. Moreover, SDN provides an efficient solution for achieving targeted quality-of-service (QoS) and for automating decision making process, with Artificial Intelligence (AI) techniques and Machine Learning (ML) algorithms.
This Special Issue on “Emerging Trends in Software-Defined Networking for Industry 4.0” aims to reflect recent advancements in software-defined networks for the fourth industrial revolution. This will provide platform for researchers to submit original manuscripts showcasing findings and exploring emerging trends in SDN for Industry 4.0.
Aims and Scopes:
Topics of interest include, but are not limited to:
• Innovative architecture, infrastructure, networking protocol design and testbeds for SDN-based smart manufacturing
• Machine learning, novel algorithms and methods for assisting SDN-based industrial networks
• Resource management with SDN
• Traffic management in SDN-based Industrial IoT
• Clustering of SDN Networks
• Novel fault-resilience framework with SDN
• SDN algorithms for network security
• Artificial Intelligence for assisting SDN networks
• Performance optimization of SDN-based industrial networks
• Novel SDN controller placement and allocation strategies
• Scheduling and routing challenges for SDN-based smart manufacturing
Keywords
Industry 4.0, Industrial IoT, Machine Learning, Software Defined Networks
Published Papers
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