QoE-Driven Video Streaming System over Cloud-Based VANET

  • Sofiene JelassiEmail author
  • Amna Bouzid
  • Habib Youssef
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9066)


The cloud-based VANETs (Vehicular Ad-Hoc NETwork) will be deployed in the near future that is going to extend VANET applications to include multimedia services. Motivated by that fact, we build a video streaming framework over a cloud-based VANET architecture that is composed of a central cloud, roadside cloudlet and vehicular cloud. The video streaming content can be seen by in-move vehicles’ passengers or static vehicles’ drivers that maintain a synchronized list of available video content located inside our system facilities. A video streaming scheduling is created upon the reception of a video content request at the vehicle, the cloudlet or the center cloud as a function of the vehicular cloud conditions and content localization. The video streaming scheduling defines the involved nodes in a video delivery session and its perceived quality. A set of VMs are installed over the cloudlets that plays the role of roadside video streaming servers. They exchange control information about vehicles’ mobility and contents using a background process in order to achieve uninterrupted streaming sessions. The vehicles include a QoE-monitor that measures end-user quality and reports it to the QoE-controller, which resides in VMs or in the vehicles.


Virtual Machine Video Stream Video Content Video Streaming Vehicular Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Park, J.-S., Lee, U., Gerla, M.: Vehicular communications: Emergency video streams and network Coding. Journal of Internet Services and Applications 1, 57–68 (2010)CrossRefGoogle Scholar
  2. 2.
    Naeimipoor, F.: Video streaming and multimedia broadcasting over vehicular Ad Hoc networks. PhD thesis, University of Ottawa (2013)Google Scholar
  3. 3.
    Bradai, A., Ahmed, T.: ReViV: Selective rebroadcast mechanism for video streaming over VANET. In: Proc. of the IEEE 79th Vehicular Technology Conference (IEEE VTC 2014), Seoul, Korea (2014)Google Scholar
  4. 4.
    Rezende, C., Mammeri, A., Boukerche, A., Loureiro, A.: A Receiver-based Video Dissemination Solution for Vehicular Networks with Content Transmissions Decoupled from Relay Node Selection. Ad-Hoc Network 17, 1–17 (2014)CrossRefGoogle Scholar
  5. 5.
    Whaiduzzaman, M., Sookhak, M., Gani, A., Buyya, R.: A survey on vehicular cloud computing. Journal of Network and Computer Applications 40, 325–344 (2014)CrossRefGoogle Scholar
  6. 6.
    Abuelela, M., Olariu, S.: Taking vanet to the clouds. In: Proceedings of the 8th International Conference on Advances in Mobile Computing and MultimediaGoogle Scholar
  7. 7.
    Olariu, S., Eltoweissy, M., Younis, M.: Towards Autonomous Vehicular Clouds. ICST Transactions on Mobile Communications and Applications 11, 1–11 (2011)CrossRefGoogle Scholar
  8. 8.
    Hussain, R., Son, J., Eun, H., Kim, S., Oh, H.: Rethinking Vehicular Communications: Merging VANET with cloud computing. In: Proc. of IEEE 4th International Conference on Cloud Computing Technology and Science, Taipei, Taiwan (2012)Google Scholar
  9. 9.
    Yu, R., Zhang, Y., Gjessing, S., Xia, W., Yang, K.: Toward Cloud-based Vehicular Networks with Efficient Resource Management. IEEE Network 27, 48–55 (2013)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.ISIM of MonastirMonastirTunisia
  2. 2.Isitcom, GP1 - HammamSousseTunisia
  3. 3.CCK, University Campus of ManoubaManoubaTunisia

Personalised recommendations