The Cyber-Physical System (CPS) has been coming into view and will be applied in our daily life and business process management. With the rapid development of many technologies related to 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). The emerging CPS must be robust and responsive for its implementation in coordinated, distributed, and connected ways. It is expected that future CPS will far exceed today’s systems on a variety of characteristics, including capability, adaptability, resilience, safety, security, and usability. With the rapid development of computing and sensing technologies, such as ubiquitous wireless sensor networks, the amount of data from dissimilar sensors and social media has increased tremendously. Conventional data fusion algorithms such as registration, association, and fusion are not effective for massive datasets.

New research opportunities and challenges for content analysis on CPS networks have arisen. Making sense of these volumes of big data requires cutting-edge tools that can analyze and extract useful knowledge from vast and diverse data streams. How can we integrate and analyze the data? How can we retrieve knowledge from big data? How can we share knowledge among smart things? How can we ensure security and protect privacy? These are some of the questions in the long list of challenges that are needed to be addressed in the future CPS. Current research in intelligent sensing addresses the following issues: artificial intelligence (AI)-driven sensing as a novel methodology for user-centered research; development of new services and applications based on human sensing, computation, and problem solving; engineering of improved AI-driven sensing platforms including quality control mechanisms; incentive design of work; usage of participatory sensing for professional business; and theoretical frameworks for evaluation. This is opening a vast space of opportunities to extend the current networks, communications, and computer applications to more pervasive and mobile applications.

This Special Issue aims to provide a forum for researchers and practitioners to exchange ideas and progress in related areas. In this Special Issue, we invite original research and review articles that address the challenges of analytics and applications of AI-driven sensing for wireless communications in cyber-physical computing.

Potential topics include but are not limited to the following:

• Cyber-physical mobile computing in Industrial Internet of Things (IIoT)
• Real-time wireless communication in cyber-physical mobile computing
• Distributed processing for sensor data in CPS networks
• Secure communication in Internet of Drones (IoD)
• Secure remote sensing and surveillance systems
• Secure computing techniques for Intelligent Transportation Systems (ITS)
• AI-driven analytics for wireless data integration
• AI platforms for efficient integration with CPS networks
• Machine learning for Intelligent Transportation Systems (ITS)
• Optimization algorithms for energy efficient wireless sensor network communication
• Energy-aware communication theory and network management in IoT
• Energy efficiency on medical instrumentation and healthcare technologies in IoT
• Service negotiation and communication for vehicular networks in IoT
• Sensor-based energy efficiency mobile management in IoT agriculture