A Performance Measurement and Analysis Method for Software-Defined Networking of IoV

[1]  Syed Hassan Ahmed,et al.  Demand-Response Management Using a Fleet of Electric Vehicles: An Opportunistic-SDN-Based Edge-Cloud Framework for Smart Grids , 2019, IEEE Network.

[2]  Hong Liu,et al.  Blockchain-Enabled Security in Electric Vehicles Cloud and Edge Computing , 2018, IEEE Network.

[3]  Zhihan Lv,et al.  Big Data Analysis Based Network Behavior Insight of Cellular Networks for Industry 4.0 Applications , 2020, IEEE Transactions on Industrial Informatics.

[4]  Lyes Khoukhi,et al.  Decentralized Cloud-SDN Architecture in Smart Grid: A Dynamic Pricing Model , 2018, IEEE Transactions on Industrial Informatics.

[5]  Yi Zhou,et al.  Analysis of Vehicle Network Architecture and Performance Optimization Based on Soft Definition of Integration of Cloud and Fog , 2019, IEEE Access.

[6]  Zibin Zheng,et al.  When UAV Swarm Meets Edge-Cloud Computing: The QoS Perspective , 2019, IEEE Network.

[7]  Fei Richard Yu,et al.  Collaborative Vehicular Edge Computing Networks: Architecture Design and Research Challenges , 2019, IEEE Access.

[8]  Syed Hassan Ahmed,et al.  MobQoS: Mobility-Aware and QoS-Driven SDN Framework for Autonomous Vehicles , 2019, IEEE Wireless Communications.

[9]  Dirk Dahlhaus,et al.  Cloud-Enabled Radio Resource Management for Co-Operative Driving Vehicular Networks , 2019, 2019 IEEE Wireless Communications and Networking Conference (WCNC).

[10]  Ke Zhang,et al.  Mobile-Edge Computing for Vehicular Networks: A Promising Network Paradigm with Predictive Off-Loading , 2017, IEEE Veh. Technol. Mag..

[11]  Lyes Khoukhi,et al.  Optimal priority-queuing for EV charging-discharging service based on cloud computing , 2017, 2017 IEEE International Conference on Communications (ICC).

[12]  Jun Li,et al.  Service Migration in Fog Computing Enabled Cellular Networks to Support Real-Time Vehicular Communications , 2019, IEEE Access.

[13]  Jie Zhang,et al.  FiWi-Enhanced Vehicular Edge Computing Networks: Collaborative Task Offloading , 2019, IEEE Vehicular Technology Magazine.

[14]  Yanhua Zhang,et al.  Delay-Tolerant Data Traffic to Software-Defined Vehicular Networks With Mobile Edge Computing in Smart City , 2018, IEEE Transactions on Vehicular Technology.

[15]  Dingde Jiang,et al.  An Energy-Efficient Networking Approach in Cloud Services for IIoT Networks , 2020, IEEE Journal on Selected Areas in Communications.

[16]  Der-Jiunn Deng,et al.  Resource Allocation in Vehicular Cloud Computing Systems With Heterogeneous Vehicles and Roadside Units , 2018, IEEE Internet of Things Journal.

[17]  Chin-Teng Lin,et al.  Edge of Things: The Big Picture on the Integration of Edge, IoT and the Cloud in a Distributed Computing Environment , 2018, IEEE Access.

[18]  Houbing Song,et al.  Rethinking Behaviors and Activities of Base Stations in Mobile Cellular Networks Based on Big Data Analysis , 2020, IEEE Transactions on Network Science and Engineering.

[19]  Laurence T. Yang,et al.  UAV-Empowered Edge Computing Environment for Cyber-Threat Detection in Smart Vehicles , 2018, IEEE Network.

[20]  Kejie Lu,et al.  Cloud-Assisted Safety Message Dissemination in VANET–Cellular Heterogeneous Wireless Network , 2017, IEEE Systems Journal.

[21]  Zhihan Lv,et al.  A Joint Multi-Criteria Utility-Based Network Selection Approach for Vehicle-to-Infrastructure Networking , 2018, IEEE Transactions on Intelligent Transportation Systems.

[22]  Xu Chen,et al.  Chimera: An Energy-Efficient and Deadline-Aware Hybrid Edge Computing Framework for Vehicular Crowdsensing Applications , 2019, IEEE Internet of Things Journal.

[23]  Lixiang Li,et al.  A Secure and Efficient Transmission Method in Connected Vehicular Cloud Computing , 2018, IEEE Network.

[24]  Jingyu Wang,et al.  Intelligent VNFs Selection Based on Traffic Identification in Vehicular Cloud Networks , 2019, IEEE Transactions on Vehicular Technology.