PROJECT TITLE :
Designing Resource-on-Demand Strategies for Dense WLANs
Being low-cost and straightforward to deploy, dense WLANs are becoming the foremost standard answer to providing Web access in locations where the population of users is giant, such as on campuses, massive enterprises, etc. The massive density of access points (APs) comes from the necessity to have enough capacity to carry the traffic generated at peak hours though, in these eventualities, traffic varies a lot on a daily, weekly, or seasonal basis. During low or no traffic periods, APs are underutilized, whether or not they are consuming energy almost in the same amount as if they were totally loaded. Promising solutions to reducing this type of energy waste comprises activating solely the number of APs that's strictly needed to hold the actual traffic; in other words, to make capacity dynamically adaptive through resource-on-demand (RoD) strategies. In this paper, we investigate the case of a little of the dense WLAN on our campus. Through real trace analysis, we tend to investigate users’ behavior in accessing the WLAN and formulate a stochastic characterization of it. We propose a easy model that describes RoD ways and use it to review the system performance that is evaluated in terms of AP activity and inactivity periods, AP switching frequency, and energy saving. Finally, we have a tendency to present some results obtained by experimenting with RoD ways during a portion of the WLAN. Our results show that RoD methods for dense WLANs are feasible and effective in trading-off the alternative desires to save some energy and to guarantee a sleek network operation and prime quality of service.
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