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The course covers wireless internet technologies, mobile devices, sensing technologies, Internet of Things(IoT), satellite systems(GPS and BDS), big data analytics and mobile cloud applications. Important topics include smart phones, tablet computers, RFID, sensors, GPS and BDS technologies, 4G/5G cellular networks, WiFi meshes, AI chips, mobile OS, mobile AI/machine learning, edge and mobile computing for smart cities, healthcare systems, etc.
The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. To that end, the authors draw upon their original research and proven track record in the field to describe a practical approach integrating big-data theories, cloud design principles, Internet of Things (IoT) sensing, machine learning, data analytics and Hadoop and Spark programming.
It offers comprehensive, self-contained knowledge on Mobile Edge Computing (MEC), which is a very promising technology for achieving intelligence in the next-generation wireless communications and computing networks. The book starts with the basic concepts, key techniques and network architectures of MEC. Then, it presents the wide applications of MEC, including edge caching, 6G networks, Internet of Vehicles, and UAVs. In the last part, it presents new opportunities when MEC meets blockchain, Artificial Intelligence, and distributed machine learning (e.g., federated learning).
