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Journal Articles Annals of Telecommunications - annales des télécommunications Year : 2018

SDN-based Wi-Fi Direct Clustering for Cloud Access in Campus Networks

Abstract

Mobile cloud is changing the way to enroll teaching activities in university campus. Lectures and lab sessions can be carried out directly from tablets in a class room 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.
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Dates and versions

hal-01567735 , version 1 (29-06-2018)

Identifiers

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Thi-Mai-Trang Nguyen, Lyes Hamidouche, Fabien Mathieu, Sébastien Monnet, Syphax Iskounen. SDN-based Wi-Fi Direct Clustering for Cloud Access in Campus Networks. Annals of Telecommunications - annales des télécommunications, 2018, 73 (3), pp.239--249. ⟨10.1007/s12243-017-0598-z⟩. ⟨hal-01567735⟩
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