In recent years, mobile information systems have achieved tremendous progress due to the rapid development of wireless communication techniques. Furthermore, mobile information systems have been widely applied to various aspects of daily life, such as the industrial internet of things and smart grid networks. The continual development of mobile information systems is however limited by the severe problem of nearly exhausted communication resources and an inevitable need for highly efficient processing and operation. By incorporating sensing into the traditional communication-oriented mobile information systems, especially the smart grid-based mobile information systems, the system resource dimension has been increased significantly. This provides a great opportunity to enhance system communication performance.

However, several critical challenges in the area of sensing and communication for smart grid-based mobile information systems still exist. One challenge is that the mechanism between sensing and communication is not clear in the smart grid networks, and the relationship between the sensing resources and communication resources should be revealed from an intelligent approach. A second challenge is that some intelligent system design strategies should be developed to exploit the system sensing and communication potential to guarantee system performance. Another challenge is joint resource management of intelligent sensing and communication for smart grid networks, where some intelligent algorithms such as deep learning and federated learning need to be developed to maximize resource efficiency.

The objective of this Special Issue is to assemble high-quality research papers on emerging theories, frameworks, architectures, and algorithms to address the challenging issues relating to intelligent sensing and communications for smart grid-based mobile information systems. This Special Issue will provide an updated view of smart grid-based mobile information systems through intelligent sensing, communication, and computation. We welcome both original research and review papers.

Potential topics include but are not limited to the following:

• Intelligent sensing techniques for mobile grid information systems
• Intelligent communication techniques for mobile grid information systems
• Intelligent resource management for mobile grid information systems
• Distributed machine learning algorithms and implementations for mobile information systems
• Intelligent physical-layer transmission design
• Performance evaluation for sensing and communication systems
• Industrial internet of things and smart grids
• Deep learning, federated learning, and transfer learning
• Security-oriented intelligent sensing techniques
• Security-oriented intelligent communication techniques
• Implementation and protocols of mobile grid information systems and advanced cross-layer design