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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 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.
This book investigates intelligent network resource management for
IoV, with the objective of maximizing the communication and
computing performance of vehicle users. Focusing on two
representative use cases in IoV, i.e., safety message broadcast and
autonomous driving, the authors propose link-layer protocol design
and application-layer computing task scheduling to achieve the
objective given the unique characteristics and requirements of IoV.
In particular, this book illustrates the challenges of resource
management for IoV due to network dynamics, such as time-varying
traffic intensity and vehicle mobility, and presents intelligent
resource management solutions to adapt to the network dynamics. The
Internet of Vehicles (IoV) enables vehicle-to-everything
connectivity and supports a variety of applications for vehicles on
the road. Intelligent resource management is critical for
satisfying demanding communication and computing requirements on
IoV, while the highly dynamic network environments pose challenges
to the design of resource management schemes. This book provides
insights into the significance of adaptive resource management in
improving the performance of IoV. The customized communication
protocol and computing scheduling scheme are designed accordingly
by taking the network dynamics information as an integral design
factor. Moreover, the decentralized designs of the proposed
solutions guarantee low signaling overhead and high scalability. A
comprehensive literature review summarizing recent resource
management schemes in IoV, followed by the customized design of
communication and computing solutions for the two IoV use cases is
included which can serve as a useful reference for professionals
from both academia and industry in the area of IoV and resource
management. Researchers working within this field and computer
science and electrical engineering students will find this book
useful as well.
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 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.
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