In recent years, there has been great progress in the development of mobile information systems due to rapidly developing wireless communication and data processing techniques, which has inspired many applications such as industrial internet of things, smart grid networks, and video monitoring. A key characteristic in the mobile grid systems is that the data often comes from multiple sources, such as radar signals, wireless transmission signals, and WiFi signals. Hence, it is of vital importance to aggregate the data from multiple sources in order to analyze the data and give an intelligent decision. Multi-source data aggregation has become a critical research topic in mobile grid systems and requires some advanced techniques in wireless communication and advanced data processing.

However, there are still several critical challenges in intelligent multi-source data aggregation for mobile grid systems. One challenge is that the system performance evaluation becomes much more complicated due to the multi-source signals. Hence, an intelligent analysis approach should be developed to analyze the system performance of multi-source data aggregation. One other challenge is that conventional design strategies are mainly focused on signals from a single source, which is not applicable to multi-source data aggregation. Hence, some intelligent cross-layer design strategies should be devised to fully exploit the benefits of multi-source data aggregation. Another challenge is that some intelligent system resource management schemes should be developed for the multi-source data aggregation in mobile grid systems.

To address the above major challenges in intelligent multi-source data aggregation for mobile grid systems, this Special Issue aims to provide a new comprehensive overview of new ideas in intelligent multi-source data aggregation. This Special Issue will bring together researchers from academia, industry, and governmental agencies to promote research that pertains to this cutting-edge research topic. Original research and review articles are welcome.

Potential topics include but are not limited to the following:

• Intelligent data acquisition for mobile grid systems
• Advanced data aggregation for mobile grid systems
• Advanced radar techniques for data processing
• Intelligent sensing techniques for data processing
• Distributed data aggregation for mobile grid systems
• Intelligent performance analysis for multi-source data aggregation
• Advanced cross-layer design strategy for multi-source data aggregation
• Industrial Internet of Things
• Deep learning, federated learning, and transfer learning
• Intelligent resource management of multi-source data aggregation
• Implementation of intelligent multi-source data aggregation