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.
CITATION STYLE
Jelassi, S., Bouzid, A., & Youssef, H. (2015). QoE-Driven video streaming system over cloud-based VANET. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9066, pp. 84–93). Springer Verlag. https://doi.org/10.1007/978-3-319-17765-6_8
Mendeley helps you to discover research relevant for your work.