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Name: Industrial Networks and Intelligent Systems
Keywords: Algorithms and Protocols, Automation, Big data, Body area networks, Cloud-based networks, Communication networks, Control networks, Green networks, Industrial networks, Intelligent systems, Management, Multimedia applications, Opportunistic networks, Optimization, Security, Sensor networks, Simulation and testbed, Social networks, Survey and review, System design.
Scope:

Along with the fast development of computer technologies, e.g., ubiquitous computing, cloud computing and cyber-physical system, all kinds of networks (e.g., control network, communication network, sensor network, body area network, social network, opportunistic network, cloud-based network, etc.) appeared and were applied in large-scale factories, including a lot of traditional and new industries, e.g., textile industry, coal industry, mining industry, steel industry, machinery industry, petrochemical industry, and biomedical industry, etc.

Assisted by various industrial networks, automation in industry can reduce cost greatly because it takes advantage of control systems and information technologies to optimize productivity in the production of goods and delivery of services. However, the industrial environment is dynamic and harsh usually, including extreme temperature, humidity, electromagnetic interference and vibration, which proposed specific requirements to intelligent industrial systems under certain circumstances. All these highlight the criticality of the design, analysis and implementation of intelligent industrial systems.This journal is committed to the timely publication of the latest research and developments in the areas of industrial networks and intelligent systems. Full papers, letters, surveys, as well as essays are welcomed. All submissions will go through a rigorous peer-review process, and be reviewed by expert referees and evaluated by the editorial board.

The scope of the journal includes, but is not limited to:

  • Applications of wireless sensor networks, body area networks in large-scale factories, such as fault theories of industrial wireless networks, including routing, network control and management, reliable transmission and architectures, etc.
  • Applications of social networking and cloud computing in large-scale factories (e.g., intelligent systems enhanced by social networking, cloud-based industrial networks, cloud-assisted intelligent systems, etc.)
  • Analysis of industrial control and communication networks, including network lifetime, security, network scalability and stability, etc.
  • Network protocols and algorithms for industrial environments at any network device communication layer
  • Design and choice of industrial network protocols (e.g., EtherNet/IP, Ethernet Powerlink, EtherCAT, Modbus-TCP, Profinet, SERCOS III, etc.)
  • Opportunistic networks in the industry, such as underwater sensor networks in sewage treatment systems, including establishing a temporary data transmission structure using available devices (e.g., underwater robot, surface data station, surface sink and under water sink), optimizing horizontal multi-hop data links (e.g., 3D data transmission), etc.
  • Industrial applications of intelligent systems, including collaborative systems, high-level control concepts (e.g., multi-agent and holonic systems, service-oriented architectures), low-level control concepts (e.g., IEC 61131-3 and IEC 61499-based control), advanced system engineering concepts (e.g., model-driven development, component-based design), etc.
  • Design and analysis of real-time embedded industrial systems, including real-time computing, real-time operating systems, real-time communications, networked embedded systems technology, etc.
  • Novel industrial control techniques, with respect to process control, equipment control, supervisory control, adaptive control, motion control, etc.
  • Automated manufacturing systems, regarding formal modeling and analysis of manufacturing systems, scheduling of manufacturing systems, queuing systems and petri nets in manufacturing systems, etc.
  • Computational intelligence in automation, including neural, fuzzy, evolutionary approaches in automation, ant colonies optimization and swarm intelligence in automation, machine learning, expert systems, etc.
  • Hardware and software design and development for intelligent systems, such as intelligent and humanized production monitoring and control, etc.
  • Big data analysis and processing in the industry, including constructing data analysis models, providing data analysis and processing tools and designing various optimization algorithms based on data analysis.
  • Crowd-sourced behavior analysis in the industry. For example, measuring and calculating the diffusion direction and speed of gas in the petrochemical industry based on crowd-sourced data from a large number of and various types of sensors.
  • Simulation and testbed of current industrial networks and intelligent systems, including network performance analysis, automated manufacturing, intelligent monitoring, disaster prevention, etc.
  • Vision of future smart factories, incorporating current existing technologies.
  • Multimedia application in industrial systems: including multimedia processing, multimedia retrieval, multimedia indexing, image sensing, image processing, image coding and image recognition, etc.
  • Pattern recognition methods for industry: including statistical theory, clustering, similarity measures, unsupervised learning, supervised learning, etc.
  • Survey, review and essay of current industrial networks researches and intelligent systems development.
  • Web page: http://eai.eu/transaction/industrial-networks-and-intelligent-systems