Today, mobile devices are a main part of advanced industrial systems. With the rapid development of many technologies related to cyber-physical systems (CPS), there is a crucial need to produce high-performance mobile platforms for use in different aspects of industrial informatics, using computational intelligence and distributed, scalable, and adaptive computing. Some applications of mobile computing and communications include Industrial Internet of Things (IIoT), aerial unmanned networked vehicles (internet of drones), vehicular networks, remote sensing and surveillance systems, and intelligent transportation systems (ITS).

One main driver of cutting-edge development is the challenge of integrating computing, communication, and sensing through cooperative and cross-layer strategies of cyber-physical mobile systems in IIoT, aiming to improve the efficiency, integrity, and reliability of these systems. Another interesting challenge in the field is the creation of new intelligent frameworks for combining data communications, computing, and sensing in different areas of the IIoT. These have a wide range of real-world applications, such as intelligent manufacturing, environmental management, and healthcare monitoring through drones and robots.

This Special Issue aims to highlight the latest advances in the efficient combination of mobile computing and communications in CPS and IIoT, where sensors are networked to each other. In addition, research on challenges and directions in control and cybernetics are also of interest, as are papers investigating cyber-security and green computing in IIoT. Authors are invited to submit original high-quality research and review papers in all aspects of IIoT with mobile devices and vehicles.

Potential topics include but are not limited to the following:

• Edge/fog/cloud computing for wireless and mobile applications in IIoT
• Adaptive and scalable computing architecture for heterogeneous IIoT and CPS
• Computational intelligence for integration of services in IIoT
• Adaptive computing for cyber-physical energy systems
• Perspectives on cyber-physical remote sensing systems and industrial applications
• Reliable data embedding, aggregation, compression, and communications for IIoT
• Distributed computing and parallel processing for CPS
• Deep learning and advanced machine learning systems for IIoT
• Intelligent physical sensing in IIoT
• Distributed radar systems for IIoT
• Visual sensing and multimedia computing for IIoT
• Security and privacy for sensors and actuators in IIoT
• Multi-source compression and multi-sensor data fusion in CPS and IIoT