AI, IoT, and Edge Computing for Sustainable Smart Cities

Dear Colleagues,

The smart city concept is an emerging interdisciplinary research area that combines artificial intelligence (AI), computer science, communication systems, civil and transportation engineering, and geography/environmental science. Due to global warming and ever-increasing energy demand, highly sustainable, energy-efficient, smart technologies need to be urgently developed for and applied to our living environments. At the same time, due to the notable success of AI and machine learning, our life is becoming much more convenient with lightweight and real-time inferences on smart devices and communication systems. Therefore, this Special Issue invites state-of-the-art research articles that advance sustainability and intelligence in smart cities and smart homes. Specifically, this Special Issue is interested in research topics including but not limited to:

• AI, IoT, edge and fog computing for smart city and home;
• Data collection, data streaming, and big data analytics for smart city;
• Energy/power management and harvesting techniques for sensors, devices, and smart applications;
• Emerging smart city applications, including smart building, transportation, and environmental sensing;
• Deployment experiences, case studies, and lessons learned in smart city and home;
• Emerging standards for data collection, energy control, and interoperability of disparate systems in smart city;
• Deep learning, applied machine learning, and optimization for smart city;
• Sustainable and failure resilience techniques for smart city;
• Sensing, modeling, and prediction technologies for smart city infrastructures;
• Security and privacy in smart city
• Precision agriculture and smart farming

Dr. In-kee Kim
Dr. Avinash Kalyanaraman
Prof. Dr. Lakshmish Ramaswamy
Guest Editors

Manuscript Submission Information

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