Internet Access in Vehicular Networks
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Beschreibung
This book introduces the Internet access for vehicles as well as novel communication and computing paradigms based on the Internet of vehicles.
To enable efficient and reliable Internet connection for mobile vehicle users, this book first introduces analytical modelling methods for the practical vehicle-to-roadside (V2R) Internet access procedure, and employ the interworking of V2R and vehicle-to-vehicle (V2V) to improve the network performance for a variety of automotive applications.
In addition, the wireless link performance between a vehicle and an Internet access station is investigated, and a machine learning based algorithm is proposed to improve the link throughout by selecting an efficient modulation and coding scheme.
This book also investigates the distributed machine learning algorithms over the Internet access of vehicles. A novel broadcasting scheme is designed to intelligently adjust the training users that are involved in the iteration rounds for an asynchronous federated learning scheme, which is shown to greatly improve the training efficiency. This book conducts the fully asynchronous machine learning evaluations among vehicle users that can utilize the opportunistic V2R communication to train machine learning models.Researchers and advanced-level students who focus on vehicular networks, industrial entities for internet of vehicles providers, government agencies target on transportation system and road management will find this book useful as reference. Network device manufacturers and network operators will also want to purchase this book.
This book introduces the Internet access for vehicles as well as novel communication and computing paradigms based on the Internet of vehicles.
To enable efficient and reliable Internet connection for mobile vehicle users, this book first introduces analytical modelling methods for the practical vehicle-to-roadside (V2R) Internet access procedure, and employ the interworking of V2R and vehicle-to-vehicle (V2V) to improve the network performance for a variety of automotive applications.
In addition, the wireless link performance between a vehicle and an Internet access station is investigated, and a machine learning based algorithm is proposed to improve the link throughout by selecting an efficient modulation and coding scheme.
This book also investigates the distributed machine learning algorithms over the Internet access of vehicles. A novel broadcasting scheme is designed to intelligently adjust the training users that are involved in the iteration rounds for an asynchronous federated learning scheme, which is shown to greatly improve the training efficiency. This book conducts the fully asynchronous machine learning evaluations among vehicle users that can utilize the opportunistic V2R communication to train machine learning models.
Researchers and advanced-level students who focus on vehicular networks, industrial entities for internet of vehicles providers, government agencies target on transportation system and road management will find this book useful as reference. Network device manufacturers and network operators will also want to purchase this book.
Describes the actual Internet connection for vehicle users from the perspective of V2V and V2R link management Considers and discusses the asynchronous machine learning training in vehicular environments Provides inspirations on the Internet access mechanism design as well as applying the machine learning paradigms
Autor*in
Wenchao Xu
Themen in »Internet Access in Vehicular Networks«
Wireless and Mobile Communication Vehicular Networks Vehicle-to-Vehicle Communication Vehicular Internet Access Internet of Vehicles Network Performance Internet access Internet link adaptation Vehicular offloading Distributed computing Asynchronous parallelization Mobile edge learning Vehicle-to-roadside Reinforcement learning Federated learning