Track 6: Call for Paper
With the rapid development of computing and communication technologies, e.g., wireless mesh networks, cloud computing and cyber-physical system, modern networks have been wildly applied in large-scale industrial factories. A large number of industrial equipments will be monitored by various types of wireless sensors for health status monitoring, fault diagnosis, automatic recovery, etc. This brings traditional industry better quality-of-service, lower cost and failure risk thanks to the advantage of control systems and information technologies. We see an upcoming trend and the huge benefit of applying intelligent systems in various industrial networks. On the other hand, the industrial environment includes harsh and extreme working conditions, which emerge the urgent requirements of intelligent systems. This significantly exaggerates the challenges to industrial networks with the consideration of high system requirements (e.g., reliability, robustness, response time, fault-tolerance, etc.) and rough environment. These new challenges call for much effort from both academia and industry. This track is committed to provide a platform for researchers to exchange their latest research achievements in industrial networks and intelligent systems. We welcome authors to submit papers about original research or innovative practice in areas including, but not limited to:
- State-of-the-art technologies in industrial networks and intelligent systems
- Wireless industrial networks development
- Industrial wireless sensor networks and its applications
- Large scale industrial plants monitoring and security
- Design of intelligent industrial systems
- Security of wireless industrial networks
- Fault diagnosis on large scale industrial equipment
- Intelligent energy harvesting technologies for industrial networks
- Cloud computing for intelligent industrial processing management
- Intelligent middleware for industrial networks and systems integration
- Data mining, pattern recognition, estimation and identification
- Design paradigm for distributed control under communication constraints
- Reliable self‐healing networking for industrial systems
- Wide‐area situational awareness (e.g., fault‐detection and localization, sensing, etc.)