5 research outputs found

    Resource-on-demand schemes in 802.11 WLANs with non-zero start-up times

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    Increasing the density of access points is one of the most effective mechanisms to cope with the growing traffic demand in wireless networks. To prevent energy wastage at low loads, a resource-on-demand (RoD) scheme is required to opportunistically (de)activate access points as network traffic varies. While previous publications have analytically modeled these schemes in the past, they have assumed that resources are immediately available when activated, an assumption that leads to inaccurate results and might result in inappropriate configurations of the RoD scheme. In this paper, we analyze a general RoD scenario with N access points and non-zero start-up times. We first present an exact analytical model that accurately predicts performance but has a high computational complexity, and then derive a simplified analysis that sacrifices some accuracy in exchange for a much lower computational cost. To illustrate the practicality of this model, we present the design of a simple configuration algorithm for RoD. Simulation results confirm the validity of the analyses, and the effectiveness of the configuration algorithm

    Modeling client arrivals at access points in wireless campus-wide networks

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    Our goal is to model the arrival of wireless clients at the access points (APs) in a production 802.11 infrastructure. Such models are critical for benchmarks, simulation studies, design of capacity planning and resource allocation, and the administration and support of wireless infrastructures. Our contributions include a novel methodology for modeling the arrival processes of clients at APs and the use of a powerful visualization tool for finding detailed interior features and quantile plots with simulation envelope for goodness-of-fit test. Time-varying Poisson processes can model well the arrival processes of clients at APs. We validate these results by modeling the visit arrivals at different time intervals and APs. Furthermore, we propose a clustering of the APs based on their visit arrival and functionality of the area in which these APs are located.Link_to_subscribed_fulltex
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