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Springer The Next Generation Vehicular Networks, Modeling, Algorithm and Applications (Wireless Networks)

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Description

This book proposes the novel network envisions and framework design principles, in order to systematically expound the next generation vehicular networks, including the modelling, algorithms and practical applications. It focuses on the key enabling technologies to design the next generation vehicular networks with various vehicular services to realize the safe, convenient and comfortable driving.  The next generation vehicular networks has emerged to provide services with a high quality of experience (QoE) to vehicles, where both better network maintainability and sustainability can be obtained than before. The framework design principles and related network architecture are also covered in this book. Then, the series of research topics are discussed including the reputation based content centric delivery, the contract based mobile edge caching, the Stackelberg game model based computation offloading, the auction game based secure computation offloading, the bargain game based security protection and the deep learning based autonomous driving. Finally, the investigation, development and future works are also introduced for designing the next generation vehicular networks. The primary audience for this book are researchers, who work in computer science and electronic engineering. Professionals working in the field of  mobile networks and communications, as well as engineers and technical staff who work on the development or the standard of computer networks will also find this book useful as a reference. From the Back Cover This book proposes the novel network envisions and framework design principles, in order to systematically expound the next generation vehicular networks, including the modelling, algorithms and practical applications. It focuses on the key enabling technologies to design the next generation vehicular networks with various vehicular services to realize the safe, convenient and comfortable driving.  The next generation vehicular networks has emerged to provide services with a high quality of experience (QoE) to vehicles, where both better network maintainability and sustainability can be obtained than before. The framework design principles and related network architecture are also covered in this book. Then, the series of research topics are discussed including the reputation based content centric delivery, the contract based mobile edge caching, the Stackelberg game model based computation offloading, the auction game based secure computation offloading, the bargain game based security protection and the deep learning based autonomous driving. Finally, the investigation, development and future works are also introduced for designing the next generation vehicular networks. The primary audience for this book are researchers, who work in computer science and electronic engineering. Professionals working in the field of  mobile networks and communications, as well as engineers and technical staff who work on the development or the standard of computer networks will also find this book useful as a reference. About the Author Prof. Zhou Su works on the topics include Internet of things, wireless communication and network security. He has published more than 100 international journal and conference papers including IEEE/ACM ToN, IEEE JSACIEEE TMCIEEE TMMIEEE TWCIEEE TVTIEEE TBDIEEE TETC, etc. He received the best paper award of IEEE ICC2020, IEEE BigdataSE2019, IEEE Comsoc TCCGC 2018, IEEE CyberSciTech 2017,etc. He is an associate editor of IEEE Internet of Things Journal and IEEE Open Journal of Computer Society. Yilong Hui works on the topics include wireless communication, mobile edge computing, vehicular networks, autonomous driving and intelligent transportation system. He is a lecturer with the State Key Laboratory of Integrated Services Networks, and with the School of Telecommunication Engineering, Xidian University, Chi

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
13 November 2021
Listed Since
18 October 2021

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