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.
