Abstract | ||
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With the continuous boom in video services and advanced computing, the requirements of mobile users for network resource and performance are rising steadily. Mobile edge computing (MEC) technology has been applied in vehicular networks (VNs) in recent years to cope with high vehicle mobility and network topology change. In this paper, we propose a group-partitioned video caching strategy algorithm... |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/ICACI52617.2021.9435871 | 2021 13th International Conference on Advanced Computational Intelligence (ICACI) |
Keywords | DocType | ISBN |
Mobile edge computing,Video caching,Vehicular networks,Caching hit ratio and latency | Conference | 978-1-6654-1254-4 |
Citations | PageRank | References |
2 | 0.37 | 0 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ruihang Yang | 1 | 2 | 0.37 |
Songtao Guo | 2 | 40 | 9.34 |