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

Autor: Nguyen, Thi Mai Trang, Hamidouche, Lyes, Mathieu, Fabien, Monnet, Sébastien, Iskounen, Syphax
Zdroj: Annals of Telecommunications; Apr2018, Vol. 73 Issue 3/4, p239-249, 11p
Abstrakt: Mobile cloud is changing the way to enroll teaching activities in a university campus. Lectures and lab sessions can be carried out directly from tablets in a classroom by accessing a server in the cloud. In this paper, we address the problem of high-density cloud access with wireless devices in campus networks. We propose to use Wi-Fi direct clustering to solve the problem of quality of service (QoS) degradation when a high number of wireless devices want to access a content in the cloud at the same time. A centralized software-defined network controller is used in our proposed architecture to capture the network state and organize the Wi-Fi Direct groups. The optimized number of clusters can be calculated in function of the number of devices in the room. By simulations, we show that we can provide a better QoS in terms of download time and application’s throughput by reducing the interference in this dense wireless network environment. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index