Access Point Selection Algorithm for Providing Optimal AP in SDN-based Wireless Network

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.