A novel energy-saving method for campus wired and dense WiFi network applying machine learning and idle cycling techniques
University campus networks need wired (ethernet) and dense wireless fidelity networks that have devices like access points, switches, and routers that are always turned on. Consequently, they generate two important problems: the energy bill and the influence of carbon dioxide into the atmosphere. En...
| Published in: | FACETS |
|---|---|
| Main Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
Canadian Science Publishing
2024-01-01
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| Subjects: | |
| Online Access: | https://facetsjournal.com/doi/10.1139/facets-2023-0164 |