Artificial Intelligence for IoT Systems

Dear Colleagues,

The Internet of Things (IoT) encompasses a network of interconnected physical objects, devices, and sensors that gather and exchange data through the internet. It has achieved great success across various industries and in everyday life, such as smart homes, healthcare, agriculture, transportation, retail, and smart cities. The application of AI in these systems is essential for processing and acting on the vast data generated by IoT devices, enabling real-time insights, automation, and personalized experiences to ultimately maximize their potential applications. It can enhance security in IoT systems, ensure scalability, and open doors to natural language interaction; this combination is essential for unlocking the full potential of the Internet of Things in various applications and industries. However, existing AI for IoT faces limitations in terms of computational resources, energy efficiency, security vulnerabilities, and the ability to handle real-time data processing at scale.

By soliciting original, previously unpublished, empirical, experimental, and theoretical research works at the intersection of IoT, AI, cloud/edge computing, and network technologies, this Special Issue aims to bring together researchers in these fields and address new challenges in AI for IoT networks. Research areas may include (but are not limited to) the following:

• Artificial intelligence;
• Internet of Things;
• Edge computing/intelligence;
• Artificial Intelligence of Things (AIoT);
• Deep learning;
• Deep reinforcement learning;
• Federated learning;
• Data collection and data mining;
• Resource management;
• IoT security/privacy.

We look forward to receiving your contributions.

Dr. Xu Zhang
Dr. Wang Miao
Dr. Jia Hu
Dr. Daniel Z. Hao
Dr. Ke Li
Dr. Yining Hua
Dr. Ting Li
Guest Editors

Manuscript Submission Information

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