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.
