Configurable Computing Systems for Enhanced Industrial Communication

Dear Colleagues,

Configurable computing systems refer to hardware and software platforms that can be customized to meet specific needs and requirements. These systems are increasingly being used to enhance industrial communication, enabling more efficient and effective data transfer and processing in industrial settings. In the context of industrial communication, configurable computing systems can be used to create customized interfaces between various industrial devices, such as sensors, actuators, and controllers. By configuring these systems to meet the specific needs of the industrial process, organizations can optimize the flow of data and improve the overall efficiency of their operations.

One key advantage of configurable computing systems is their flexibility. These systems can be reconfigured and updated as needed, allowing organizations to adapt to changing requirements and technologies. This flexibility also enables organizations to optimize their industrial communication systems over time, continually improving their operations and reducing costs. Another advantage of configurable computing systems is their ability to handle large volumes of data. With the growth of the Industrial Internet of Things (IIoT), organizations are generating more data than ever before. Configurable computing systems can help organizations manage this data and extract valuable insights that can inform decision making and improve operational efficiency.

This Special Issue welcomes theoretical papers, methodological studies, and empirical research (or combinations thereof) on the usage of configurable computing systems to enable the Industrial Internet of Things and sustainable wireless sensor network, to improve network security, reliability, and availability, and scheduling mechanisms to fulfil timing and reliability requirements dictated by industrial applications.

The topics of interest include, but are not limited to:

• Industrial Internet of Thing;
• Cyber Physical Systems;
• Distributed measurement systems;
• Neural Network;
• Time synchronization mechanisms;
• Real-time indoor localization systems;
• Performance evaluation and modelling of communication systems and architectures;
• Software Defined Networking (SDN);
• Cloud and Fog computing in future factories;
• Real-time communication standards;
• Deterministic medium access schemes and real-time scheduling;
• In-vehicle real-time communications;
• Cooperating robot sensor networks.

Dr. Stefano Rinaldi
Guest Editor

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