Abstract
Caching popular contents at heterogeneous devices, e.g., fog nodes (FNs) or fog access points (FAPs), constitutes a promising technique of reducing both the traffic and the energy consumption of the backhaul links. In this paper, we propose an energy-efficient caching and node association algorithm for cache-aided fog networks. First, we solve the problem of energy-efficient content caching and delivery in the FNs/FAPs. In both caching scenarios, we investigate the relationship between the caching probability of the file and the energy-efficient content delivery by formulating the associated energy efficiency (EE) optimization problem. Then, we derive a joint modulation mode allocation strategy and caching policy for each content caching node and conceive a joint node association and caching algorithm. Finally, we quantify both the overall EE and throughput for demonstrating that the proposed caching and transmission strategy achieves significant performance improvements.
| Original language | English |
|---|---|
| Title of host publication | 2020 IEEE 92nd Vehicular Technology Conference, VTC 2020-Fall - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781728194844 |
| DOIs | |
| State | Published - Nov 2020 |
| Externally published | Yes |
| Event | 92nd IEEE Vehicular Technology Conference, VTC 2020-Fall - Virtual, Victoria, Canada Duration: 18 Nov 2020 → … |
Publication series
| Name | IEEE Vehicular Technology Conference |
|---|---|
| Volume | 2020-November |
| ISSN (Print) | 1550-2252 |
Conference
| Conference | 92nd IEEE Vehicular Technology Conference, VTC 2020-Fall |
|---|---|
| Country/Territory | Canada |
| City | Virtual, Victoria |
| Period | 18/11/20 → … |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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