SDN-based Wi-Fi Direct clustering for cloud access in campus networks

摘要: Mobile cloud is changing the way to enroll teaching activities in university campus. Lectures and lab sessions can be carried out directly from tablets a class room by accessing server cloud. In this paper, we address problem of high density access with wireless devices campus networks. We propose use Wi-Fi Direct clustering solve Quality Service (QoS) degradation when number want content at same time. A centralized software-defined network controller used our proposed architecture capture state organize groups. The optimized clusters calculated function room. By simulations, show that provide better QoS terms download time application's throughput reducing interference dense environment.