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
Article
  • 106 Downloads

Abstract

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.

Keywords

Wi-Fi Direct Software-defined networking Cloud network access 

References

  1. 1.
    Camps-Mur D, Garcia-Saavedra A, Serrano P (2013) Device-to-device communications with WiFi direct: overview and experimentation. IEEE Wirel Commun Mag 20(3):96–104Google Scholar
  2. 2.
  3. 3.
    Cisco (2017) Cisco visual networking index: global mobile data traffic forecast update, 2016–2021. White paperGoogle Scholar
  4. 4.
    Maity M, Raman B, Vutukuru M (2017) TCP download performance in dense WiFi scenarios: analysis and solution. IEEE Trans Mob Comput 16(1):213–227Google Scholar
  5. 5.
    Baid A, Raychaudhuri D (2015) Understanding channel selection dynamics in dense Wi-Fi networks. IEEE Commun Mag 53(1):110–117Google Scholar
  6. 6.
    Green Communications (2016) Green PI: Device2Device wearable networks. White paper, http://www.green-communications.fr
  7. 7.
    Wi-Fi Alliance (2014) Wi-Fi simple configuration technical specification, version 2.0.5Google Scholar
  8. 8.
    Pyattaev A, Johnsson K, Andreev S, Koucheryavy Y (2013) 3GPP LTE traffic offloading onto WiFi Direct. In: IEEE wireless communications and networking conference workshops (WCNCW), ShanghaiGoogle Scholar
  9. 9.
    Rajadurai R, Gopalan KS, Patil M, Chitturi S (2016) Enhanced interworking of LTE and Wi-Fi Direct for public safety. IEEE Commun Mag 54(4):40–46CrossRefGoogle Scholar
  10. 10.
    Liu K, Shen W, Yin B, Cao X, Cai LX, Cheng Y (2016) Development of mobile ad-hoc networks over Wi-Fi Direct with off-the-shelf android phones. In: Proceedings of IEEE ICC, Kuala LumpurGoogle Scholar
  11. 11.
    Amaral L, Sofia R, Mendes P, Moreira W (2016) Oi!—opportunistic data transmission based on Wi-Fi Direct. In: Proceedings of IEEE INFOCOM, San FranciscoGoogle Scholar
  12. 12.
    McKeown N, Anderson T, Balakrishman H, Parulkar G, Peterson L, Rexford J, Shenker S, Turner J (2008) OpenFlow: enabling innovation in campus networks. ACM SIGCOMM Comput Commun Rev 38(2):69–74Google Scholar
  13. 13.
    Riggio R, Marina MK, Rasheed T (2015) Interference management in software-defined mobile networks. In: Proceedings of IFIP/IEEE international symposium on integrated network management, OttawaGoogle Scholar
  14. 14.
    Stiti O, Braham O, Pujolle G (2015) Virtual OpenFlow-based SDN Wi-Fi access point. In: Proceedings of IEEE global information infrastructure and networking symposium (GIIS), GuadalajaraGoogle Scholar
  15. 15.
    Seyedebrahimi M, Bouhafs F, Raschella A, Mackay M, Shi Q (2016) SDN-based channel assignment algorithm for intererence management in dense Wi-Fi networks. In: Proceedings of European conference on networks and communications (EuCNC), AthensGoogle Scholar
  16. 16.
    Haque IT, Abu-Ghazaleh N (2016) Wireless software defined networking: a survey and taxonomy. IEEE Commun Surv Tutorials 18(4), Fourth QuaterGoogle Scholar
  17. 17.
    Cabria I, Gondra I (2017) Potential-K-means for load balancing and cost minimization in mobile recycling network. IEEE Syst J 11(1):242–249Google Scholar
  18. 18.
    Brelaz D (1979) New methods to color the vertices of a graph. Commun ACM 22(4):251–256Google Scholar
  19. 19.
    Saquib N, Hossain E, Le LB, Kim DI (2012) Interference management in OFDMA Femtocell networks: issues and approaches. IEEE Wirel Commun Mag 19(3):86–95Google Scholar
  20. 20.
    Iskounen S, Nguyen TMT, Monnet S (2016) Wi-Fi Direct simulation for INET in OMNeT++, OMNeT++ community summit. BrnoGoogle Scholar

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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