Cognitive energy efficient for closed-proximity devices: an empirical study and standardization issues
We describe an empirical study findings on the impact of throughput performance when transmission power is adjusted among access points in closed-proximity network devices. The experiment was conducted in an office environment to emulate such wireless LAN network. We introduce a potential energy...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Asian Research Publishing Network (ARPN)
2015
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/42069/1/edas.final-1570059987.pdf http://irep.iium.edu.my/42069/ http://www.arpnjournals.com/jeas/ |
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| Summary: | We describe an empirical study findings on the impact of throughput performance when transmission power is adjusted
among access points in closed-proximity network devices. The experiment was conducted in an office environment to
emulate such wireless LAN network. We introduce a potential energy efficient mechanism based on cognitively learning
one of the attributes which then triggers the power selection. We show that similar throughput performance at the client
can be obtained at reduced transmission power thus prevent an access point from maximizing power unnecessarily. We
have also evaluated the impact of increasing and reducing power to other neighbouring access points. It was found that
the improvement of throughput is increased to 44% maximum. Throughput performance alert is introduced in the
mechanism to be aware of sudden throughput changes in the system. |
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