scholarly journals Twin-Timescale Artificial Intelligence Aided Mobility-Aware Edge Caching and Computing in Vehicular Networks

2019 ◽  
Vol 68 (4) ◽  
pp. 3086-3099 ◽  
Author(s):  
Le Thanh Tan ◽  
Rose Qingyang Hu ◽  
Lajos Hanzo
Keyword(s):  
Artificial Intelligence ◽  
Vehicular Networks ◽  
Edge Caching

Cooperative Edge Caching With Location-Based and Popular Contents for Vehicular Networks

2020 ◽  
Vol 69 (9) ◽  
pp. 10291-10305
Author(s):  
Jiayin Chen ◽  
Huaqing Wu ◽  
Peng Yang ◽  
Feng Lyu ◽  
Xuemin Shen
Keyword(s):  
Vehicular Networks ◽  
Edge Caching

Hybrid Human-Artificial Intelligence Enabled Edge Caching Based on Interest Evolution

2021 ◽  
pp. 107-122
Author(s):  
Zhidu Li ◽  
Fuxiang Li ◽  
Dapeng Wu ◽  
Honggang Wang ◽  
Ruyan Wang
Keyword(s):  
Artificial Intelligence ◽  
Edge Caching

An Edge Caching Scheme to Distribute Content in Vehicular Networks

2018 ◽  
Vol 67 (6) ◽  
pp. 5346-5356 ◽  
Author(s):  
Zhou Su ◽  
Yilong Hui ◽  
Qichao Xu ◽  
Tingting Yang ◽  
Jianyi Liu ◽  
...  
Keyword(s):  
Vehicular Networks ◽  
Caching Scheme ◽  
Edge Caching

scholarly journals Mobile Edge Caching

2021 ◽  
pp. 23-36
Author(s):  
Yan Zhang
Keyword(s):  
Artificial Intelligence ◽  
Access Networks ◽  
Edge Computing ◽  
Topology Design ◽  
Mobile Edge Computing ◽  
Key Issues ◽  
Types Of Information ◽  
Caching Mechanism ◽  
Edge Caching

AbstractEdge caching is a key part of mobile edge computing. It not only can support the necessary task data for edge computing, but also enables powerful Internet of Things applications with massive amounts of data and various types of information in access networks. In this chapter, we present the architecture of the edge caching mechanism and introduce metrics for evaluating caching performance. We then discuss key issues in caching topology design, caching data scheduling, as well as caching server cooperation and present a case study of artificial intelligence–empowered edge caching.

Sign in / Sign up

Export Citation Format

Share Document