SS10 - Advanced Methods for the Management of Factory Networks

Special Session Organized by

Gianluca Cena, Institute of Electronics, Information Engineering and Telecommunications of the National Research Council of Italy(CNR-IEIIT), Torino, Italy and Maxim Friesen, Institute Industrial IT - inIT of Technische Hochschule OWL, Lemgo,, Germany and Mikael Gidlund, Department of Information Systems and Technology (IST) of Mid Sweden University, Sundsvall, Sweden and Arne Neumann, Institute Industrial IT - inIT of Technische Hochschule OWL, Lemgo,, Germany and Stefano Scanzio, Institute of Electronics, Information Engineering and Telecommunications of the National Research Council of Italy(CNR-IEIIT), Torino, Italy and Lukasz Wisniewski, Institute Industrial IT - inIT of Technische Hochschule OWL, Lemgo,, Germany

Download Call for Papers

Click here to download the session cfp.

Focus

Customization, resilience, and efficiency are some of the major challenges that production plants are faced with today and in the future. Comprehensive acquisition, processing, and utilization of process information can help to tackle these issues. They are themselves in turn based on comprehensive interconnection by data networks. Here, a variety of demanding requirements including reliability, determinism, update frequencies, data throughput, power consumption, safety, security, and mobility, as well as interoperability with legacy systems, lead to the deployment of a plurality of wired and wireless communication technologies. To overcome the resulting complexity of planning, configuring, operating, and maintaining such heterogeneous factory networkinfrastructures, advanced methods and tools are needed.

Topics under this session include (but not limited to)
  • Case studies on integrated wired and wireless communication technologies
  • Control and management architectures for heterogeneous and dependable factory networks, considering reactive and proactive (re-)configuration of network parameters
  • Information modelling for improving the interoperability and convergence of industrial network systems and use of digital twin technology for life-cycle management
  • Provisioning of end-to-end QoS and intelligent resource allocation in heterogeneous factory networks, including edge computing and storage
  • AI and ML based methods for the management of factory networks
  • Advanced measures for the management of safety and security in factory networks
  • Management of Low-power and Lossy Networks (LLNs)
  • Management of the perception and network layers in the Industrial IoT (IIoT)
  • Analogies in network management for verticals (vehicular, building automation, disaster recovery, etc.)
Previous Next