标题/作者	年份
Learning IoT in edge: Deep learning for the Internet of Things with edge computing H Li, K Ota, M Dong IEEE network 32 (1), 96-101	2018
A survey on the edge computing for the Internet of Things W Yu, F Liang, X He, WG Hatcher, C Lu, J Lin, X Yang IEEE access 6, 6900-6919	2017
Serving at the edge: A scalable IoT architecture based on transparent computing J Ren, H Guo, C Xu, Y Zhang IEEE Network 31 (5), 96-105	2017
A survey on network methodologies for real-time analytics of massive IoT data and open research issues S Verma, Y Kawamoto, ZM Fadlullah, H Nishiyama, N Kato IEEE Communications Surveys & Tutorials 19 (3), 1457-1477	2017
Edge of things: The big picture on the integration of edge, IoT and the cloud in a distributed computing environment H El-Sayed, S Sankar, M Prasad, D Puthal, A Gupta, M Mohanty, CT Lin IEEE Access 6, 1706-1717	2017
Mobility-aware edge caching and computing in vehicle networks: A deep reinforcement learning RQ Hu IEEE Transactions on Vehicular Technology 67 (11), 10190-10203	2018
Collaborative computation offloading for multiaccess edge computing over fiber–wireless networks H Guo, J Liu IEEE Transactions on Vehicular Technology 67 (5), 4514-4526	2018
A survey on service migration in mobile edge computing S Wang, J Xu, N Zhang, Y Liu IEEE Access 6, 23511-23528	2018
Mobile-edge computation offloading for ultradense IoT networks H Guo, J Liu, J Zhang, W Sun, N Kato IEEE Internet of Things Journal 5 (6), 4977-4988	2018
Blockchain empowered asynchronous federated learning for secure data sharing in internet of vehicles Y Lu, X Huang, K Zhang, S Maharjan, Y Zhang IEEE Transactions on Vehicular Technology 69 (4), 4298-4311	2020
A survey on end-edge-cloud orchestrated network computing paradigms: Transparent computing, mobile edge computing, fog computing, and cloudlet J Ren, D Zhang, S He, Y Zhang, T Li ACM Computing Surveys (CSUR) 52 (6), 1-36	2019
Enabling collaborative edge computing for software defined vehicular networks K Wang, H Yin, W Quan, G Min IEEE network 32 (5), 112-117	2018
Mobile edge computing empowered energy efficient task offloading in 5G L Yang, H Zhang, M Li, J Guo, H Ji IEEE Transactions on Vehicular Technology 67 (7), 6398-6409	2018
Enforcing position-based confidentiality with machine learning paradigm through mobile edge computing in real-time industrial informatics AK Sangaiah, DV Medhane, T Han, MS Hossain, G Muhammad IEEE Transactions on Industrial Informatics 15 (7), 4189-4196	2019
NOMA-assisted multi-access mobile edge computing: A joint optimization of computation offloading and time allocation Y Wu, K Ni, C Zhang, LP Qian, DHK Tsang IEEE Transactions on Vehicular Technology 67 (12), 12244-12258	2018
Cloudlets activation scheme for scalable mobile edge computing with transmission power control and virtual machine migration TG Rodrigues, K Suto, H Nishiyama, N Kato, K Temma IEEE Transactions on Computers 67 (9), 1287-1300	2018
Energy-efficient UAV-assisted mobile edge computing: Resource allocation and trajectory optimization M Li, N Cheng, J Gao, Y Wang, L Zhao, X Shen IEEE Transactions on Vehicular Technology 69 (3), 3424-3438	2020
Joint offloading and computation energy efficiency maximization in a mobile edge computing system H Sun, F Zhou, RQ Hu IEEE Transactions on Vehicular Technology 68 (3), 3052-3056	2019
Machine learning meets computation and communication control in evolving edge and cloud: Challenges and future perspective TK Rodrigues, K Suto, H Nishiyama, J Liu, N Kato IEEE Communications Surveys & Tutorials 22 (1), 38-67	2019
Task offloading in vehicular edge computing networks: A load-balancing solution J Zhang, H Guo, J Liu, Y Zhang IEEE Transactions on Vehicular Technology 69 (2), 2092-2104	2019

1 - 20

计算机程序会自动估算并确定日期和引用次数。