Vehicular Edge Computing and Networking: A Survey
暂无分享,去创建一个
Lei Liu | Chen Chen | Qingqi Pei | Yan Zhang | Sabita Maharjan | Yan Zhang | Sabita Maharjan | Qingqi Pei | Chen Chen | Lei Liu
[1] Xuemin Shen,et al. Self-Sustaining Caching Stations: Toward Cost-Effective 5G-Enabled Vehicular Networks , 2017, IEEE Communications Magazine.
[2] Hui Zhao,et al. Energy-Aware Dynamic Resource Allocation in UAV Assisted Mobile Edge Computing Over Social Internet of Vehicles , 2018, IEEE Access.
[3] Der-Jiunn Deng,et al. Latency Control in Software-Defined Mobile-Edge Vehicular Networking , 2017, IEEE Communications Magazine.
[4] Tom H. Luan,et al. Content in Motion: An Edge Computing Based Relay Scheme for Content Dissemination in Urban Vehicular Networks , 2019, IEEE Transactions on Intelligent Transportation Systems.
[5] Yan Zhang,et al. Mobile Edge Computing: A Survey , 2018, IEEE Internet of Things Journal.
[6] Deepak Puthal,et al. Everything You Wanted to Know About the Blockchain: Its Promise, Components, Processes, and Problems , 2018, IEEE Consumer Electronics Magazine.
[7] Lingyang Song,et al. Roadside Unit Caching: Auction-Based Storage Allocation for Multiple Content Providers , 2017, IEEE Transactions on Wireless Communications.
[8] Zhu Han,et al. Incentive Design for Cache-Enabled D2D Underlaid Cellular Networks Using Stackelberg Game , 2019, IEEE Transactions on Vehicular Technology.
[9] Xiaolin Chang,et al. Reliable and Secure Vehicular Fog Service Provision , 2019, IEEE Internet of Things Journal.
[10] Qian He,et al. Blockchain and Deep Reinforcement Learning Empowered Intelligent 5G Beyond , 2019, IEEE Network.
[11] Yanan Chen,et al. Privacy-Preserving Data Aggregation Protocol for Fog Computing-Assisted Vehicle-to-Infrastructure Scenario , 2018, Secur. Commun. Networks.
[12] Xing Zhang,et al. A Survey on Mobile Edge Networks: Convergence of Computing, Caching and Communications , 2017, IEEE Access.
[13] Falko Dressler,et al. Vehicular Micro Clouds as Virtual Edge Servers for Efficient Data Collection , 2017, CarSys@MobiCom.
[14] Pingzhi Fan,et al. A Cooperative Caching Algorithm for Cluster-Based Vehicular Content Networks with Vehicular Caches , 2017, 2017 IEEE Globecom Workshops (GC Wkshps).
[15] Jie Huang,et al. A Computation Offloading Algorithm Based on Game Theory for Vehicular Edge Networks , 2018, 2018 IEEE International Conference on Communications (ICC).
[16] Mohsen Guizani,et al. Home M2M networks: Architectures, standards, and QoS improvement , 2011, IEEE Communications Magazine.
[17] Depeng Jin,et al. Vehicular Fog Computing: A Viewpoint of Vehicles as the Infrastructures , 2016, IEEE Transactions on Vehicular Technology.
[18] K. B. Letaief,et al. A Survey on Mobile Edge Computing: The Communication Perspective , 2017, IEEE Communications Surveys & Tutorials.
[19] Xiaodong Lin,et al. A Privacy-Preserving Vehicular Crowdsensing-Based Road Surface Condition Monitoring System Using Fog Computing , 2017, IEEE Internet of Things Journal.
[20] Ke Zhang,et al. Collaborative Task Offloading in Vehicular Edge Multi-Access Networks , 2018, IEEE Communications Magazine.
[21] Der-Jiunn Deng,et al. Energy-Optimal Edge Content Cache and Dissemination: Designs for Practical Network Deployment , 2018, IEEE Communications Magazine.
[22] Yi Mu,et al. A Privacy-Preserving Fog Computing Framework for Vehicular Crowdsensing Networks , 2018, IEEE Access.
[23] Xianbin Wang,et al. A $Q$ -Learning-Based Proactive Caching Strategy for Non-Safety Related Services in Vehicular Networks , 2019, IEEE Internet of Things Journal.
[24] Chen Chen,et al. Deep Learning and Superpixel Feature Extraction Based on Contractive Autoencoder for Change Detection in SAR Images , 2018, IEEE Transactions on Industrial Informatics.
[25] Jingyu Wang,et al. Simplifying Flow Updates in Software-Defined Networks Using Atoman , 2019, IEEE Access.
[26] Xiaoli Chu,et al. Enabling Low-Latency Applications in LTE-A Based Mixed Fog/Cloud Computing Systems , 2019, IEEE Transactions on Vehicular Technology.
[27] Yong Xiang,et al. Robust Reputation-Based Cooperative Spectrum Sensing via Imperfect Common Control Channel , 2018, IEEE Transactions on Vehicular Technology.
[28] Bin Li,et al. UAV Communications for 5G and Beyond: Recent Advances and Future Trends , 2019, IEEE Internet of Things Journal.
[29] Chin-Teng Lin,et al. Internet of Vehicles: Motivation, Layered Architecture, Network Model, Challenges, and Future Aspects , 2016, IEEE Access.
[30] Xuemin Shen,et al. Cost-effective vehicular network planning with cache-enabled green roadside units , 2017, 2017 IEEE International Conference on Communications (ICC).
[31] Guozhu Liu,et al. A Secure and Privacy-Preserving Navigation Scheme Using Spatial Crowdsourcing in Fog-Based VANETs , 2017, Sensors.
[32] Ahmed Jawad Kadhim,et al. Energy-efficient multicast routing protocol based on SDN and fog computing for vehicular networks , 2019, Ad Hoc Networks.
[33] 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.
[34] Xuefeng Liu,et al. Privacy-Preserving Reputation Management for Edge Computing Enhanced Mobile Crowdsensing , 2019, IEEE Transactions on Services Computing.
[35] Rodrigo Roman,et al. Mobile Edge Computing, Fog et al.: A Survey and Analysis of Security Threats and Challenges , 2016, Future Gener. Comput. Syst..
[36] Wei Quan,et al. Intelligent popularity-aware content caching and retrieving in highway vehicular networks , 2016, EURASIP J. Wirel. Commun. Netw..
[37] Ke Zhang,et al. Deep Learning Empowered Task Offloading for Mobile Edge Computing in Urban Informatics , 2019, IEEE Internet of Things Journal.
[38] Lei Lei,et al. Design on Publish/Subscribe Message Dissemination for Vehicular Networks with Mobile Edge Computing , 2017, 2017 IEEE Globecom Workshops (GC Wkshps).
[39] Chonho Lee,et al. A survey of mobile cloud computing: architecture, applications, and approaches , 2013, Wirel. Commun. Mob. Comput..
[40] Ilsun You,et al. A Novel Utility Based Resource Management Scheme in Vehicular Social Edge Computing , 2018, IEEE Access.
[41] Ke Zhang,et al. Mobile-Edge Computing for Vehicular Networks: A Promising Network Paradigm with Predictive Off-Loading , 2017, IEEE Veh. Technol. Mag..
[42] Geoffrey Ye Li,et al. Vehicular Communications: A Network Layer Perspective , 2017, IEEE Transactions on Vehicular Technology.
[43] Guojun Wang,et al. Secure VANETs: Trusted Communication Scheme Between Vehicles and Infrastructure Based on Fog Computing , 2019, Studies in Informatics and Control.
[44] Lei Liu,et al. Available connectivity analysis under free flow state in VANETs , 2012, EURASIP J. Wirel. Commun. Netw..
[45] Shahid Mumtaz,et al. Dependable Content Distribution in D2D-Based Cooperative Vehicular Networks: A Big Data-Integrated Coalition Game Approach , 2018, IEEE Transactions on Intelligent Transportation Systems.
[46] Xiaodong Lin,et al. Efficient and Privacy-Preserving Carpooling Using Blockchain-Assisted Vehicular Fog Computing , 2019, IEEE Internet of Things Journal.
[47] Qiang Zheng,et al. Software-Defined and Fog-Computing-Based Next Generation Vehicular Networks , 2018, IEEE Communications Magazine.
[48] Sherali Zeadally,et al. QoS-Aware Hierarchical Web Caching Scheme for Online Video Streaming Applications in Internet-Based Vehicular Ad Hoc Networks , 2015, IEEE Transactions on Industrial Electronics.
[49] Yan Zhang,et al. Joint Computation Offloading and User Association in Multi-Task Mobile Edge Computing , 2018, IEEE Transactions on Vehicular Technology.
[50] Walid Saad,et al. Ultra Reliable, Low Latency Vehicle-to-Infrastructure Wireless Communications with Edge Computing , 2018, 2018 IEEE Global Communications Conference (GLOBECOM).
[51] Der-Jiunn Deng,et al. Resource Allocation in Vehicular Cloud Computing Systems With Heterogeneous Vehicles and Roadside Units , 2018, IEEE Internet of Things Journal.
[52] Mojtaba Alizadeh,et al. Authentication in mobile cloud computing: A survey , 2016, J. Netw. Comput. Appl..
[53] Nenghai Yu,et al. Fog-Aided Verifiable Privacy Preserving Access Control for Latency-Sensitive Data Sharing in Vehicular Cloud Computing , 2018, IEEE Network.
[54] Liwei Wang,et al. Distributed Probabilistic Caching strategy in VANETs through Named Data Networking , 2016, 2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).
[55] Yan Zhang,et al. Optimal delay constrained offloading for vehicular edge computing networks , 2017, 2017 IEEE International Conference on Communications (ICC).
[56] Sujit Dey,et al. Quality of Service Optimization for Vehicular Edge Computing with Solar-Powered Road Side Units , 2018, 2018 27th International Conference on Computer Communication and Networks (ICCCN).
[57] Min Sheng,et al. Mobile-Edge Computing: Partial Computation Offloading Using Dynamic Voltage Scaling , 2016, IEEE Transactions on Communications.
[58] Rong Yu,et al. Exploring Mobile Edge Computing for 5G-Enabled Software Defined Vehicular Networks , 2017, IEEE Wireless Communications.
[59] Lei Liu,et al. A data dissemination scheme based on clustering and probabilistic broadcasting in VANETs , 2018, Veh. Commun..
[60] Der-Jiunn Deng,et al. Low Latency Radio Access in 3GPP Local Area Data Networks for V2X: Stochastic Optimization and Learning , 2019, IEEE Internet of Things Journal.
[61] Mario Gerla,et al. Vehicular software-defined networking and fog computing: Integration and design principles , 2019, Ad Hoc Networks.
[62] Kamalrulnizam Abu Bakar,et al. Fog Based Intelligent Transportation Big Data Analytics in The Internet of Vehicles Environment: Motivations, Architecture, Challenges, and Critical Issues , 2018, IEEE Access.
[63] Ke Zhang,et al. Contract-theoretic Approach for Delay Constrained Offloading in Vehicular Edge Computing Networks , 2019, Mob. Networks Appl..
[64] Xiaoli Chu,et al. Computation Offloading and Resource Allocation in Vehicular Networks Based on Dual-Side Cost Minimization , 2019, IEEE Transactions on Vehicular Technology.
[65] Nan Zhao,et al. Integrated Networking, Caching, and Computing for Connected Vehicles: A Deep Reinforcement Learning Approach , 2018, IEEE Transactions on Vehicular Technology.
[66] Mohsen Guizani,et al. PROS: A Privacy-Preserving Route-Sharing Service via Vehicular Fog Computing , 2018, IEEE Access.
[67] Le Yu,et al. Achieving Differentially Private Location Privacy in Edge-Assistant Connected Vehicles , 2019, IEEE Internet of Things Journal.
[68] Sherali Zeadally,et al. VANET-cloud: a generic cloud computing model for vehicular Ad Hoc networks , 2015, IEEE Wireless Communications.
[69] Lei Shu,et al. Parked Vehicle Edge Computing: Exploiting Opportunistic Resources for Distributed Mobile Applications , 2018, IEEE Access.
[70] Qian He,et al. A study on the characteristics of douyin short videos and implications for edge caching , 2019, ACM TUR-C.
[71] Ke Zhang,et al. Artificial Intelligence Inspired Transmission Scheduling in Cognitive Vehicular Communications and Networks , 2019, IEEE Internet of Things Journal.
[72] Neeraj Kumar,et al. Peer-to-Peer Cooperative Caching for Data Dissemination in Urban Vehicular Communications , 2014, IEEE Systems Journal.
[73] Rose Qingyang Hu,et al. Mobility-Aware Edge Caching and Computing in Vehicle Networks: A Deep Reinforcement Learning , 2018, IEEE Transactions on Vehicular Technology.
[74] Paolo Giaccone,et al. Mobility-aware edge caching for connected cars , 2016, 2016 12th Annual Conference on Wireless On-demand Network Systems and Services (WONS).
[75] Xiaowei Yang,et al. Secrecy-Driven Resource Management for Vehicular Computation Offloading Networks , 2018, IEEE Network.
[76] Shengli Xie,et al. Blockchain for Secure and Efficient Data Sharing in Vehicular Edge Computing and Networks , 2019, IEEE Internet of Things Journal.
[77] Xiang Cheng,et al. In-Vehicle Caching (IV-Cache) Via Dynamic Distributed Storage Relay (D$^2$SR) in Vehicular Networks , 2019, IEEE Transactions on Vehicular Technology.
[78] Yan Zhang,et al. Artificial Intelligence Empowered Edge Computing and Caching for Internet of Vehicles , 2019, IEEE Wireless Communications.
[79] Supeng Leng,et al. Power Minimization Resource Allocation for Underlay MISO-NOMA SWIPT Systems , 2019, IEEE Access.
[80] Wenyu Zhang,et al. Cooperative Fog Computing for Dealing with Big Data in the Internet of Vehicles: Architecture and Hierarchical Resource Management , 2017, IEEE Communications Magazine.
[81] Bin Li,et al. Energy-Efficient User Scheduling and Power Allocation for NOMA-Based Wireless Networks With Massive IoT Devices , 2018, IEEE Internet of Things Journal.
[82] Hussein Zedan,et al. A comprehensive survey on vehicular Ad Hoc network , 2014, J. Netw. Comput. Appl..
[83] Choong Seon Hong,et al. Deep Learning Based Caching for Self-Driving Cars in Multi-Access Edge Computing , 2018, IEEE Transactions on Intelligent Transportation Systems.
[84] Fan Yang,et al. Efficient data request answering in vehicular Ad-hoc networks based on fog nodes and filters , 2019, Future Gener. Comput. Syst..
[85] Pingzhi Fan,et al. Low Latency Caching Placement Policy for Cloud-Based VANET with Both Vehicle Caches and RSU Caches , 2017, 2017 IEEE Globecom Workshops (GC Wkshps).
[86] Dijiang Huang,et al. PACP: An Efficient Pseudonymous Authentication-Based Conditional Privacy Protocol for VANETs , 2011, IEEE Transactions on Intelligent Transportation Systems.
[87] Zhou Su,et al. An Edge Caching Scheme to Distribute Content in Vehicular Networks , 2018, IEEE Transactions on Vehicular Technology.
[88] Insup Lee,et al. Bandwidth Optimal Data/Service Delivery for Connected Vehicles via Edges , 2018, 2018 IEEE 11th International Conference on Cloud Computing (CLOUD).
[89] Tao Jiang,et al. Deep Reinforcement Learning for Mobile Edge Caching: Review, New Features, and Open Issues , 2018, IEEE Network.
[90] Xiaofei Wang,et al. Artificial Intelligence-Based Techniques for Emerging Heterogeneous Network: State of the Arts, Opportunities, and Challenges , 2015, IEEE Access.
[91] Ahmed Jawad Kadhim,et al. Maximizing the Utilization of Fog Computing in Internet of Vehicle Using SDN , 2019, IEEE Communications Letters.
[92] Hassan Artail,et al. Finding a STAR in a Vehicular Cloud , 2013, IEEE Intelligent Transportation Systems Magazine.
[93] Mohsen Guizani,et al. Fog-assisted Congestion Avoidance Scheme for Internet of Vehicles , 2018, 2018 14th International Wireless Communications & Mobile Computing Conference (IWCMC).
[94] Weihua Zhuang,et al. Infotainment and road safety service support in vehicular networking: From a communication perspective , 2011 .
[95] Sangheon Pack,et al. Optimal Task Offloading and Resource Allocation in Software-Defined Vehicular Edge Computing , 2018, 2018 International Conference on Information and Communication Technology Convergence (ICTC).
[96] Shahid Mumtaz,et al. Social Big-Data-Based Content Dissemination in Internet of Vehicles , 2018, IEEE Transactions on Industrial Informatics.
[97] Xuemin Shen,et al. Toward Efficient Content Delivery for Automated Driving Services: An Edge Computing Solution , 2018, IEEE Network.
[98] Lin Yao,et al. A Cooperative Caching Scheme Based on Mobility Prediction in Vehicular Content Centric Networks , 2018, IEEE Transactions on Vehicular Technology.
[99] Filip De Turck,et al. Network Function Virtualization: State-of-the-Art and Research Challenges , 2015, IEEE Communications Surveys & Tutorials.
[100] Tarik Taleb,et al. On Multi-Access Edge Computing: A Survey of the Emerging 5G Network Edge Cloud Architecture and Orchestration , 2017, IEEE Communications Surveys & Tutorials.
[101] Meikang Qiu,et al. A Scalable and Quick-Response Software Defined Vehicular Network Assisted by Mobile Edge Computing , 2017, IEEE Communications Magazine.
[102] Mohsen Guizani,et al. Deep neural network-aided Gaussian message passing detection for ultra-reliable low-latency communications , 2019, Future Gener. Comput. Syst..
[103] Miguel Correia,et al. REPSYS: A Robust and Distributed Incentive Scheme for Collaborative Caching and Dissemination in Content-Centric Cellular-Based Vehicular Delay-Tolerant Networks , 2018, IEEE Wireless Communications.
[104] Victor C. M. Leung,et al. Cache-Enabled Adaptive Video Streaming Over Vehicular Networks: A Dynamic Approach , 2018, IEEE Transactions on Vehicular Technology.
[105] Chen Chen,et al. A congestion avoidance game for information exchange on intersections in heterogeneous vehicular networks , 2017, J. Netw. Comput. Appl..
[106] Athanasios V. Vasilakos,et al. Mobile Cloud Computing: A Survey, State of Art and Future Directions , 2013, Mobile Networks and Applications.
[107] Shahid Mumtaz,et al. BEGIN: Big Data Enabled Energy-Efficient Vehicular Edge Computing , 2018, IEEE Communications Magazine.
[108] Rong Yu,et al. Privacy-Preserved Pseudonym Scheme for Fog Computing Supported Internet of Vehicles , 2018, IEEE Transactions on Intelligent Transportation Systems.
[109] Yan Zhang,et al. Secure Transmission for Heterogeneous Cellular Networks With Wireless Information and Power Transfer , 2018, IEEE Systems Journal.
[110] Zhu Han,et al. Roadside-unit caching in vehicular ad hoc networks for efficient popular content delivery , 2015, 2015 IEEE Wireless Communications and Networking Conference (WCNC).
[111] Yan Zhang,et al. Cooperative Content Caching in 5G Networks with Mobile Edge Computing , 2018, IEEE Wireless Communications.
[112] Abdul Hanan Abdullah,et al. A Secure Trust Model Based on Fuzzy Logic in Vehicular Ad Hoc Networks With Fog Computing , 2017, IEEE Access.
[113] Lei Liu,et al. ASGR: An Artificial Spider-Web-Based Geographic Routing in Heterogeneous Vehicular Networks , 2019, IEEE Transactions on Intelligent Transportation Systems.
[114] Stefano Paris,et al. Optimal caching of encoded data for content distribution in vehicular networks , 2015, 2015 IEEE International Conference on Communication Workshop (ICCW).
[115] Du Xu,et al. Joint Load Balancing and Offloading in Vehicular Edge Computing and Networks , 2019, IEEE Internet of Things Journal.
[116] Xuemin Hong,et al. Proactive content delivery for vehicles over cellular networks: The fundamental benefits of computing and caching , 2018, China Communications.
[117] Rong Yu,et al. Distributed Reputation Management for Secure and Efficient Vehicular Edge Computing and Networks , 2017, IEEE Access.
[118] Samir Tohmé,et al. Multi-level SDN with vehicles as fog computing infrastructures: A new integrated architecture for 5G-VANETs , 2018, 2018 21st Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN).
[119] Tie Qiu,et al. CVCG: Cooperative V2V-Aided Transmission Scheme Based on Coalitional Game for Popular Content Distribution in Vehicular Ad-Hoc Networks , 2019, IEEE Transactions on Mobile Computing.
[120] Zhisheng Niu,et al. Task Replication for Vehicular Edge Computing: A Combinatorial Multi-Armed Bandit Based Approach , 2018, 2018 IEEE Global Communications Conference (GLOBECOM).
[121] Feng Zhao,et al. Parked Vehicular Computing for Energy-Efficient Internet of Vehicles: A Contract Theoretic Approach , 2019, IEEE Internet of Things Journal.
[122] Wei Cheng,et al. Meet-fog for accurate distribution of negative messages in VANET , 2017, SmartIoT@SEC.
[123] Fan Yang,et al. Fog-Based Two-Phase Event Monitoring and Data Gathering in Vehicular Sensor Networks , 2017, Sensors.
[124] Nan Cheng,et al. Cooperative vehicular content distribution in edge computing assisted 5G-VANET , 2018, China Communications.
[125] Paolo Giaccone,et al. The RICH Prefetching in Edge Caches for In-Order Delivery to Connected Cars , 2019, IEEE Transactions on Vehicular Technology.
[126] Mahamod Ismail,et al. Vehicular communication ad hoc routing protocols: A survey , 2014, J. Netw. Comput. Appl..
[127] Tariq Umer,et al. Context-Aware Data-Driven Intelligent Framework for Fog Infrastructures in Internet of Vehicles , 2018, IEEE Access.
[128] Miao Pan,et al. Secure Roadside Unit Hotspot Against Eavesdropping Based Traffic Analysis in Edge Computing Based Internet of Vehicles , 2018, IEEE Access.
[129] Dong In Kim,et al. Toward Secure Blockchain-Enabled Internet of Vehicles: Optimizing Consensus Management Using Reputation and Contract Theory , 2018, IEEE Transactions on Vehicular Technology.
[130] Thierry Turletti,et al. A Survey of Software-Defined Networking: Past, Present, and Future of Programmable Networks , 2014, IEEE Communications Surveys & Tutorials.
[131] Ke Xu,et al. Reliable realtime streaming in vehicular cloud-fog computing networks , 2016, 2016 IEEE/CIC International Conference on Communications in China (ICCC).
[132] Jing Zhang,et al. An Efficient Message-Authentication Scheme Based on Edge Computing for Vehicular Ad Hoc Networks , 2019, IEEE Transactions on Intelligent Transportation Systems.
[133] Yen-Wen Lin,et al. Cloud-Supported Seamless Internet Access in Intelligent Transportation Systems , 2013, Wirel. Pers. Commun..
[134] Rong Yu,et al. Low-latency caching with auction game in vehicular edge computing , 2017, 2017 IEEE/CIC International Conference on Communications in China (ICCC).
[135] Der-Jiunn Deng,et al. Latency-Optimal mmWave Radio Access for V2X Supporting Next Generation Driving Use Cases , 2019, IEEE Access.
[136] Yan Zhang,et al. Energy-efficient workload offloading and power control in vehicular edge computing , 2018, 2018 IEEE Wireless Communications and Networking Conference Workshops (WCNCW).
[137] Xu Yu,et al. SVMs Classification Based Two-side Cross Domain Collaborative Filtering by inferring intrinsic user and item features , 2018, Knowl. Based Syst..
[138] Victor C. M. Leung,et al. Blockchain-Based Decentralized Trust Management in Vehicular Networks , 2019, IEEE Internet of Things Journal.
[139] Yu Xiao,et al. Fog Following Me: Latency and Quality Balanced Task Allocation in Vehicular Fog Computing , 2018, 2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON).
[140] Xiao Chen,et al. Exploring Fog Computing-Based Adaptive Vehicular Data Scheduling Policies Through a Compositional Formal Method—PEPA , 2017, IEEE Communications Letters.