Cognitive energy efficient for closed-proximity devices: An empirical study and standardization issues

Wahidah Hashim, Ahmad Fadzil Ismail, Mohamad Hasan Kamrul, Khairayu Badron, Rajina M A Raj Mohamed, Humairah Ahmad Nasir

Research output: Contribution to journalArticle


We describe 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.

Original languageEnglish
Pages (from-to)987-992
Number of pages6
JournalARPN Journal of Engineering and Applied Sciences
Issue number3
Publication statusPublished - 01 Jan 2015


All Science Journal Classification (ASJC) codes

  • Engineering(all)

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