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
2 Magency
3 DELYS - DistributEd aLgorithms and sYStems
Inria de Paris, LIP6
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
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
Complete list of metadatas

Cited literature [20 references]  Display  Hide  Download
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 : Friday, November 1, 2019 - 1:40:41 AM
Long-term archiving on : Thursday, September 27, 2018 - 7:46:29 AM

File

sdn-wifi-direct.pdf
Files produced by the author(s)

Identifiers

Collections

INSTITUT-TELECOM | UNIV-SAVOIE | INRIA | UGA | INRIA-ROCQ | INSA-TOULOUSE | LAAS | INSA-GROUPE | SORBONNE-UNIVERSITE | LIP6 | UNIV-TLSE3 | SU-SCIENCES | UT1-CAPITOLE | UNIV-TLSE2 | LISTIC

Citation

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, Springer, 2018, 73 (3), pp.239--249. ⟨10.1007/s12243-017-0598-z⟩. ⟨hal-01567735⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

906

Files downloads

297

Contact

CCSD