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Connectivity and Edge Computing in IoT: Customized Designs and AI-based Solutions: Connectivity and Edge Computing in IoT: Customized Designs and AI-based Solutions
: Jie Gao, Mushu Li, Weihua Zhuang
: Springer
: Wireless Networks
: 2021
: 177
:
: pdf (true), epub
: 21.1 MB

This book covers connectivity and edge computing solutions for representative Internet of Things (IoT) use cases, including industrial IoT, rural IoT, Internet of Vehicles (IoV), and mobile virtual reality (VR). Based on their unique characteristics and requirements, customized solutions are designed with targets such as supporting massive connections or seamless mobility and achieving low latency or high energy efficiency. Meanwhile, the book highlights the role of artificial intelligence (AI) in future IoT networks and showcases AI-based connectivity and edge computing solutions.

The Internet of Things (IoT) is revolutionizing the world and impacting the daily lives of billions of people. Supporting use cases for households, manufacturers, transportation, agriculture, healthcare, and much more, IoT carries many potentials and expectations for prospering human society. Technologically, we are at an early stage of IoT development, aiming at connecting tens of billions of devices to make homes, communities, factories, farms, and everywhere else smart and automated. Tremendous efforts are necessary to advance IoT research and development.

Two cornerstones of IoT are data collection/exchange and data analysis. The former demands connectivity solutions, while the latter requires computing solutions. Due to the broad scope of IoT and the drastically different characteristics and requirements of IoT use cases, no one-size-fits-all design can meet the expectations of all use cases. Therefore, customizing connectivity or computing solutions for specific use cases is challenging yet essential. There are many system features and performance measures to consider in the customization, such as connection link density, resource overhead, transmission and computation delay, service reliability, energy efficiency, and device mobility, and making proper trade-offs among them is critical.

The solutions presented in this book serve the overall purpose of facilitating an increasingly connected and intelligent world. The potential benefits of the solutions include increased productivity in factories, improved connectivity in rural areas, enhanced safety for vehicles, and enriched entertainment experiences for mobile users. Featuring state-of-the-art research in the IoT field, this book can help answer the question of how to connect billions of diverse devices and enable seamless data collection and processing in future IoT. The content also provides insights regarding the significance of customizing use case-specific solutions as well as approaches of using various AI methods to empower IoT.

This book targets researchers and graduate students working in the areas of electrical engineering, computing engineering, and computer science as a secondary textbook or reference. Professionals in industry who work in the field of IoT will also find this book useful.

Connectivity and Edge Computing in IoT: Customized Designs and AI-based Solutions












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