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Access point selection algorithm for providing optimal AP in SDN-based wireless network

机译:在基于SDN的无线网络中提供最佳AP的接入点选择算法

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Mobile operators are providing mobile data services through numerous Wi-Fi access points (APs). In such a wireless network, when mobile devices select a APs, recent works only consider to provide guarantee QoS (Quality of Service), however, they ignore the backhaul link limitations which refers to the link between AP and backbone routers. Therefore, even if there exist many APs satisfying the QoS, the mobile devices selects a specific AP, thus, creating congestion on the AP's backhaul link. Therefore, we propose a novel AP selection scheme that classifies mobile traffic by applying a machine learning based scheme and also considers the backhaul link status of APs along with the QoS requirements. Moreover, prior to AP selection, we prioritized the requests and implement an efficient approach that can balance the load between APs. Simulation results state that our proposal is suitable to provide an efficient network environment by distributing the backhaul link load of APs with guaranteed QoS.
机译:移动运营商正在通过众多Wi-Fi接入点(AP)提供移动数据服务。在这样的无线网络中,当移动设备选择AP时,最近的工作仅考虑提供保证QoS(服务质量),但是,它们忽略了回程链路限制,后者是指AP与骨干路由器之间的链路。因此,即使存在许多满足QoS的AP,移动设备也会选择一个特定的AP,从而在AP的回程链路上造成拥塞。因此,我们提出了一种新颖的AP选择方案,该方案通过应用基于机器学习的方案对移动流量进行分类,并考虑AP的回程链路状态以及QoS要求。此外,在选择AP之前,我们对请求进行了优先排序,并实施了一种可以平衡AP之间负载的有效方法。仿真结果表明,我们的建议适合通过分配具有保证QoS的AP的回程链路负载来提供有效的网络环境。

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