Abstract—An adaptive seamless streaming dissemination system for vehicular networks is presented in this work. An adaptive streaming system is established at each local server to prefetch and buffer stream data. The adaptive streaming system computes the parts of prefetched stream data for each user and stores them temporarily at the local server, based on current situation of the users and the environments that they are located at. Thus, users can download the prefetched stream data from the local servers instead of from Internet directly, such that the video playing problem caused by network congestion can be avoided. Several techniques such as stream data prefetching, stream data forwarding, and adaptive dynamic decoding, were utilized for enhancing the adaptability of different users and environments and achieving the best transmission efficiency. Support vector regression (SVR) is utilized to determine if a roadside base station (BS) or a vehicle can be chosen to transfer stream data for users. Considering the uneven deployment of BSs and vehicles, the bandwidth reservation mechanism for premium user was proposed to ensure the QoS of stream data premium user received. A series of simulations were conducted, the experimental results verify the effectiveness and feasibility of the proposed work.

Index Terms—Adaptable dynamic decoding, adaptable streaming service dissemination, bandwidth reservation, stream data prefetch, support vector regression, vehicular networks.

The authors are with the National Dong Hwa University, Taiwan (e-mail: cjhuang@mail.ndhu.edu.tw).

Cite:Chenn-Jung Huang, Kai-Wen Hu, Heng-Ming Chen, Yu-Wu Wang, Jui-Jiun Jian, and Sheng-Yuan Chien, "A SVR-Based Multimedia Streaming Dissemination System for Vehicular Networks," International Journal of Computer and Communication Engineering vol. 4, no. 1, pp. 26-32, 2015.