Internet of Things (IoT) is one of the most promising technologies that aims to enhance humans’ quality of life. IoT plays a significant role in several fields such as healthcare, automotive industries, agriculture, education, and many cross-cutting business applications. IoT has evolved due to the convergence of multiple technologies, including smart communications and networking, ubiquitous computing, commodity sensors, security and privacy, and increasingly powerful embedded systems, as well as artificial intelligence. IoT based on artificial intelligence is constantly penetrating various aspects of people's lives and production, greatly improving their quality of life and efficiency. We look forward to a fully intelligent IoT lifestyle, but many IoT technologies continue to be explored, developed, and improved. Humanity will usher in an era of interconnected things full of intelligent perception, computing, and communication.
The aim of this Research Topic is to present a multidisciplinary state-of-the-art reference regarding theoretical and real-world challenges, and innovative solutions by inviting high-quality research papers for Artificial Intelligence (AI) applications in sustainable IoT system. We plan to establish a platform for researchers, practitioners, and industry experts to exchange their knowledge, experiences, and perspectives regarding AI applications in the sustainable IoT system. Our platform is dedicated to discussing and analyzing key core issues such as perception, computing, communication, and security in IoT, and providing scientific intelligent solutions. By curating a selection of high-quality research articles and reviews, our goal is to offer a comprehensive overview of the advancements in this field and foster further research and development endeavors.
The themes of interest for this Research Topic include but are not limited to:
1. Intelligent perception in IoT, mainly including Multimodal Data Fusion, Sensor Data Fusion, Audio Visual Signal Processing, and other perception directions.
2. Intelligent communication is committed to continuously improving the device access and operational efficiency of IoT, mainly including Artificial Intelligence for IoT, Massive and Green IoT, Machine Learning for Communications and Networking, and other wireless directions.
3. Edge intelligence and green computing are one of the vital supports for reducing IoT operation cost, mainly including Edge Intelligence, Green Multi access Edge Computing, and other computing directions.
4. Security and privacy are one of the key guarantees for the IoT operation, mainly including IoT Security and privacy, Big Data Security and privacy, and other security directions.
Keywords:
AI, IoT System, Image Processing, Signal Processing
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
Internet of Things (IoT) is one of the most promising technologies that aims to enhance humans’ quality of life. IoT plays a significant role in several fields such as healthcare, automotive industries, agriculture, education, and many cross-cutting business applications. IoT has evolved due to the convergence of multiple technologies, including smart communications and networking, ubiquitous computing, commodity sensors, security and privacy, and increasingly powerful embedded systems, as well as artificial intelligence. IoT based on artificial intelligence is constantly penetrating various aspects of people's lives and production, greatly improving their quality of life and efficiency. We look forward to a fully intelligent IoT lifestyle, but many IoT technologies continue to be explored, developed, and improved. Humanity will usher in an era of interconnected things full of intelligent perception, computing, and communication.
The aim of this Research Topic is to present a multidisciplinary state-of-the-art reference regarding theoretical and real-world challenges, and innovative solutions by inviting high-quality research papers for Artificial Intelligence (AI) applications in sustainable IoT system. We plan to establish a platform for researchers, practitioners, and industry experts to exchange their knowledge, experiences, and perspectives regarding AI applications in the sustainable IoT system. Our platform is dedicated to discussing and analyzing key core issues such as perception, computing, communication, and security in IoT, and providing scientific intelligent solutions. By curating a selection of high-quality research articles and reviews, our goal is to offer a comprehensive overview of the advancements in this field and foster further research and development endeavors.
The themes of interest for this Research Topic include but are not limited to:
1. Intelligent perception in IoT, mainly including Multimodal Data Fusion, Sensor Data Fusion, Audio Visual Signal Processing, and other perception directions.
2. Intelligent communication is committed to continuously improving the device access and operational efficiency of IoT, mainly including Artificial Intelligence for IoT, Massive and Green IoT, Machine Learning for Communications and Networking, and other wireless directions.
3. Edge intelligence and green computing are one of the vital supports for reducing IoT operation cost, mainly including Edge Intelligence, Green Multi access Edge Computing, and other computing directions.
4. Security and privacy are one of the key guarantees for the IoT operation, mainly including IoT Security and privacy, Big Data Security and privacy, and other security directions.
Keywords:
AI, IoT System, Image Processing, Signal Processing
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.