Power adjustment in dense deployment network: An empirical study

We describe an empirical study findings on the impact of throughput performance when transmission power is adjusted among access points in close-proximity network devices. The experiment was conducted in an office environment to emulate a dense wireless LAN network. We introduce a power adjustment mechanism based on cognitive learning one of the attributes which then triggers the power selection. We show that client´s sufficient throughput performance can be obtained at reduced transmission power thus prevent an access point of maximizing power unnecessarily. We have also evaluated the impact of increasing and reducing power to other neighbouring access points. It was found that the impact was less than 10% difference. However, optimizing the power unnecessarily can lead to inefficiency of energy utilization as well as increase electromagnetic exposure to the human body.