Stoop: Stochastically-Dominant Access Point Selection in Enterprise WLANs

Abstract

In this work, two access point (AP) selection mechanisms called STOOP and MD-STOOP are presented for enterprise wireless local area networks (WLANs). STOOP utilizes first- order stochastic dominance (FSD) tools to develop a runtime algorithm that probes the network to compare the quality of service from multiple APs in a stochastic manner. MD-STOOP utilizes the concept of mean dominance (MD) to select APs, which provides good average case performance with less overhead than STOOP. Performance of the two algorithms is evaluated through extensive simulations in comparison to the state-of-the-art. It is shown that STOOP and MD-STOOP outperform existing solutions and directions for further improvements are discussed.