The Next Generation Vehicular Networks, Modeling, Algorithm and Applications

1 Introduction 1 1.Overview of Vehicular Networks 1 1.1 Architecture of Vehicular Networks 1 1.2 Applications in Vehicular Networks1.2 Overview of Enabling Technologies 1.2.1 Advanced Communication-5G 1.2.2 Mobile Edge Computing 1.2.3 Network Function Virtualization 1.2.4 Software Defined Network 1.2.5 Computation Offloading 1.2.6 Blockchain 1.2.7 Information Centric Networks 1.2.8 Edge Caching 1.2.9 Autonomous Driving 1.2.10 Artificial Intelligence 1.3 Aim of the Book 2 ReputationBasedContentDeliveryinInformationCentricVehicularNetworks 2.1 Introduction 2.2 Overview of Information Centric Vehicular Networks 2.2.1 Content Delivery in Vehicular Networks 2.2.2 ICN Based Content Delivery 2.2.3 Challenges of Content Delivery in Information Centric Vehicular Networks 2.3 Reputation Based Vehicular Networks 2.4 Framework of Reputation Based Content Delivery in Information Centric Vehicular 2.4.1 Network Architecture 2.4.2 FrameworkofReputationBasedContentDeliveryinInformationCentricVehicular Networks 2.5 Simulation 2.5.1 Setting 2.5.2 Results Analysis 2.6 Summary
References
3 Contract Based Edge Cachingi n Vehicular Networks 3.1 Introduction 3.2 Edge Caching in Vehicular Social Networks 3.2.1 Vehicular Social Networks 3.2.2 Edge Caching in Vehicular Networks 3.2.3 Challenges of Edge Caching in Vehicular Networks 3.3 Contract Based Edge Caching in Vehicular Networks 3.4 Framework of Contract Based Edge Caching in Vehicular Networks 3.4.1 Network Architecture 3.4.2 Framework of Contract Based Edge Caching in Vehicular Networks 3.5 Simulation 3.5.1 Setting 3.5.2 Results Analysis 3.6 Summary
References
4 Stackelberg Game Based Computation Offloading in Vehicular Networks 4.1 Introduction 4.2 System Model 4.2.1 Network Model 4.2.2 Communication Model 4.2.3 Task Execution Model 4.3 Stackelberg Game Analysis 4.3.1 Benefits of Vehicles 4.3.2 Benefits of MEC Server 4.3.3 Stackelberg Game 4.4 The Equilibrium Solution of Stackelberg Game 4.4.1 Stage 2: Offloading Strategy of Vehicles 4.4.2 Stage 1: Pricing Strategy of MEC Servers 4.4.3 Stackelberg Game Equilibrium 4.5 Simulation 4.5.1 Setting 4.5.2 Results Analysis
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 JSAC、IEEE TMC、IEEE TMM、IEEE TWC、IEEE TVT、IEEE TBD、IEEE 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, China. Dr. Hui has published over 20 scientific articles in leading journals and international conferences, including IEEE JSAC, IEEE/ACM TON, IEEE TITS, IEEE TVT, IEEE TETC and IEEE Wireless Communications.

Tom H. Luan is a professor with the School of Engineering, Xidian University, Xi'an, China. He received the B.E. degree from the Xi'an Jiaotong University, China, in 2004, the Master degree from the Hong Kong University of Science and Technology, Hong Kong, in 2007, and the Ph.D. degree from the University of Waterloo, Canada, in 2012, all in Electrical and Computer Engineering. Dr. Luan has authored/coauthored around 40 journal papers and 30 technical papers in conference proceedings, and awarded one US patent. He served as a TPC member for IEEE Globecom, ICC, PIMRC and the technical reviewer for multiple IEEE Transactions including TMC, TPDS, TVT, TWC and ITS.

Qiaorong Liu works on the topics include computation offloading and caching in vehicular networks. She received the B.E. degree from the Northwest University for Nationalities, China, in 2016, and the master degree from Shanghai University, China, in 2019.

Rui Xing works on the topics include security and optimization in vehicular networks. He received the B.E. and master degree from Shanghai University, China, in 2017 and 2020, respectively.