The recently underway era of industry 4.0 focuses on how to take a sustainable revolution for the existing, ubiquitous and wide range of electrical, electronic, and programmable systems by means of the cyber intelligence based on resilient and efficient networks. To achieve the sustainability, today’s researchers put great efforts on the foundational techniques relating to the design, testing and evaluation in areas such as communication networks, distributed collaborative computation, security detections and defenses, as well as machine learning models. Furthermore, such a complex cyber-physical system (CPS) is generally designed and functioned to support dynamic monitoring diverse sensors, state estimations, and feedback controls to actuators, through scenario-dedicated industrial protocols, e.g., EtherNet/IP, Modbus, Profinet, IEC 61850, IEC 60870-5-104, and ControlNet. In addition, the network consists of the diverse communication mediums including Ethernet, wireless networks, or optical networks. These prominent features raise great challenges to both scholars and the industrial world.
In the industry 4.0, there are serious challenges in the aspects of networks and computations below. For the networks, researchers require to effectively and efficiently protect against security threats, disruptions, corruptions, and faults raised in the cyberspace, because that any challenge can bring unstoppable damage even in the cascading way within the CPS. Nowadays, the above challenges become the focusing points for all academia in the fields of networks, automation controls, and operation technologies, which try to seamlessly combine the IT networks with the OT world to make CPS being evolvable, flexible, secure, safe, and efficient. For the computations, it is necessary to study how machine learning can be well adopted in the IT domain to accelerate production efficiency, security, and reliability of the OT domain to bring benefits to economy and reliability. In those ways, the research goal is to bring a trustworthy network for the sustainable industry 4.0.
This Research Topic welcomes novel, conceptual, and practicable papers that can boost industry 4.0 with computation and networks for achieving better sustainability.
We consider the following topics (but not limited to):
- Technical research relating to industry 4.0
- Resilient designs for industrial networks
- Metaverse and digital twin for networked CPS
- Machine learning for industrial networks
- Security testing/detection/protection for industrial networks
- Zero touch management for industrial networks
- Quality-of-service assurance/optimization for industrial networks
- Future industrial network designs
- Distributed collaborations in industrial networks
- Efficient computation offloading with industrial networks
- Wireless industrial networks
- Virtualization techniques for industrial networks
- Standard studies relating to industrial networks
Keywords:
Industry 4.0, cyber networks, security, assurance, cyber-physical systems
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
The recently underway era of industry 4.0 focuses on how to take a sustainable revolution for the existing, ubiquitous and wide range of electrical, electronic, and programmable systems by means of the cyber intelligence based on resilient and efficient networks. To achieve the sustainability, today’s researchers put great efforts on the foundational techniques relating to the design, testing and evaluation in areas such as communication networks, distributed collaborative computation, security detections and defenses, as well as machine learning models. Furthermore, such a complex cyber-physical system (CPS) is generally designed and functioned to support dynamic monitoring diverse sensors, state estimations, and feedback controls to actuators, through scenario-dedicated industrial protocols, e.g., EtherNet/IP, Modbus, Profinet, IEC 61850, IEC 60870-5-104, and ControlNet. In addition, the network consists of the diverse communication mediums including Ethernet, wireless networks, or optical networks. These prominent features raise great challenges to both scholars and the industrial world.
In the industry 4.0, there are serious challenges in the aspects of networks and computations below. For the networks, researchers require to effectively and efficiently protect against security threats, disruptions, corruptions, and faults raised in the cyberspace, because that any challenge can bring unstoppable damage even in the cascading way within the CPS. Nowadays, the above challenges become the focusing points for all academia in the fields of networks, automation controls, and operation technologies, which try to seamlessly combine the IT networks with the OT world to make CPS being evolvable, flexible, secure, safe, and efficient. For the computations, it is necessary to study how machine learning can be well adopted in the IT domain to accelerate production efficiency, security, and reliability of the OT domain to bring benefits to economy and reliability. In those ways, the research goal is to bring a trustworthy network for the sustainable industry 4.0.
This Research Topic welcomes novel, conceptual, and practicable papers that can boost industry 4.0 with computation and networks for achieving better sustainability.
We consider the following topics (but not limited to):
- Technical research relating to industry 4.0
- Resilient designs for industrial networks
- Metaverse and digital twin for networked CPS
- Machine learning for industrial networks
- Security testing/detection/protection for industrial networks
- Zero touch management for industrial networks
- Quality-of-service assurance/optimization for industrial networks
- Future industrial network designs
- Distributed collaborations in industrial networks
- Efficient computation offloading with industrial networks
- Wireless industrial networks
- Virtualization techniques for industrial networks
- Standard studies relating to industrial networks
Keywords:
Industry 4.0, cyber networks, security, assurance, cyber-physical systems
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.