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

Thi-Mai-Trang Nguyen; Lyes Hamidouche; Fabien Mathieu; Sébastien Monnet; Syphax Iskounen

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

Thi-Mai-Trang Nguyen ¹ Lyes Hamidouche ^{2, 3} Fabien Mathieu ^{4, 5} Sébastien Monnet ⁶ Syphax Iskounen ⁷

1 Phare

LIP6 - Laboratoire d'Informatique de Paris 6

2 Magency

3 DELYS - DistributEd aLgorithms and sYStems

Inria de Paris, LIP6 - Laboratoire d'Informatique de Paris 6

4 Nokia Bell Labs [Nozay]

5 LINCS - Laboratory of Information, Network and Communication Sciences

6 LISTIC - Laboratoire d'Informatique, Systèmes, Traitement de l'Information et de la Connaissance

7 LAAS - Laboratoire d'analyse et d'architecture des systèmes [Toulouse]

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.

Keywords : Software-defined networking Wi-Fi Direct Cloud network access

Document type :

Journal articles

Domain :

Computer Science [cs] / Networking and Internet Architecture [cs.NI]

Complete list of metadatas

https://hal.sorbonne-universite.fr/hal-01567735
Contributor : Thi-Mai-Trang Nguyen <>
Submitted on : Friday, June 29, 2018 - 3:00:46 PM
Last modification on : Tuesday, May 14, 2019 - 10:12:47 AM
Long-term archiving on : Thursday, September 27, 2018 - 7:46:29 AM

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