Annals of Telecommunications

, Volume 73, Issue 3–4, pp 239–249 | Cite as

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

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


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.


Wi-Fi Direct Software-defined networking Cloud network access 


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Copyright information

© Institut Mines-Télécom and Springer-Verlag France SAS 2017

Authors and Affiliations

  1. 1.LIP6, Sorbonne Université, UPMC, CNRSParisFrance
  2. 2.MagencyParisFrance
  3. 3.NOKIA Bell LabsNozayFrance
  4. 4.LISTIC, Université Savoie Mont BlancAnnecy le VieuxFrance
  5. 5.LASS, CNRSToulouseFrance

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