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A Novel On-Line Association Algorithm for Supporting Load Balancing in Multiple-AP Wireless LAN

机译:在多AP无线局域网中支持负载平衡的新型在线关联算法

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摘要

Nowadays, wireless LAN has become the most widely deployed technology in mobile devices for providing Internet access. Operators and service providers remarkably increase the density of wireless access points in order to provide their subscribers with better connectivity and user experience. As a result, WLAN users usually find themselves covered by multiple access points and have to decide which one to associate with. In traditional implementations, most wireless stations would select the access point with the strongest signal, regardless of traffic load on that access point, which might result in heavy congestion and unfair load. In this paper, we propose a novel on-line association algorithm to deal with any sequence of STAs during a long-term time such as one day. the performance of our algorithm is evaluated through simulation and experiments. Simulation results show that our algorithm improves the overall WLAN throughput by up to 37%, compared with the conventional RSSI-based approach. Our algorithm also performs better than SSF (Strongest Signal First) and LAB (Largest Available Bandwidth) in the experiments.
机译:如今,无线局域网已成为用于提供Internet访问的移动设备中部署最广泛的技术。运营商和服务提供商显着提高了无线接入点的密度,以便为其订户提供更好的连接性和用户体验。结果,WLAN用户通常发现自己被多个接入点覆盖,并且必须决定与哪个接入点相关联。在传统实现中,大多数无线站都会选择信号最强的接入点,而不管该接入点上的流量负载如何,这可能导致严重的拥塞和不公平的负载。在本文中,我们提出了一种新颖的在线关联算法来处理长期(例如一天)中的任何STA序列。通过仿真和实验评估了我们算法的性能。仿真结果表明,与传统的基于RSSI的方法相比,我们的算法将整体WLAN吞吐量提高了37%。在实验中,我们的算法的性能也优于SSF(最强信号优先)和LAB(最大可用带宽)。

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