Artificial Intelligence Empowered Internet of Things

Dear Colleagues,

The Internet of Things (IoT) connects things with things as well as people with things through a variety of information sensors, and builds a real-time updated heterogeneous database by collecting various kinds of data. In recent years, the power of artificial intelligence (AI) has been involved in the development of the Internet of Things. With its powerful analysis, learning and reasoning, it has met many practical needs, covering transportation, economic, social and other aspects. For example, digital twin systems of urban intelligent transportation helps to better manage urban traffic, and the intelligent factory deeply integrates information technology and manufacturing technology to provide enterprises with digital and intelligent functions.

Considering the high demand for efficiency and accuracy in practical applications, it is urgent to update and iterate terminal equipment, communication technology and intelligent algorithms. However, there are still many challenges in data collection, transmission, analysis, prediction and other stages of intelligent Internet of Things. Researchers focus on how to reduce communication costs and energy consumption, rationalize resource allocation and optimization, and improve algorithm accuracy and convergence speed. In addition, the heterogeneity and privacy of the data make it more difficult to implement practical applications.

This Special Issue aims to introduce the latest breakthroughs in theoretical research, technological innovation and practical application of the combination of AI techniques and IoT, as well as the prospects for its future development. The topics of interest include, but are not limited to, the following:

• Sensor data anomaly detection;
• Data collection and storage;
• Missing data imputation;
• AI and IoT big-data-analytics-based sensing techniques;
• AI and IoT big-data-analytics-based communication techniques;
• Resource management and task scheduling of computing power networks;
• Data security and privacy protection;
• Intelligent data analysis;
• Interpretability for IoT big data analytics;
• New development and combination with other advanced techniques, e.g., cloud computing, digital twins, etc.;
• Relevant industry standards and platforms;
• AI-empowered smart cities.

Prof. Dr. Xiangjie Kong
Dr. Giovanni Pau
Guest Editors

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