Title :
Session rate prediction for multimedia streaming
Author :
Gunjgur, Prathmesh N. ; Vidhate, Amarsinh V.
Author_Institution :
Dept. of Comput. Eng., Ramrao Adik Inst. of Technol., Navi Mumbai, India
Abstract :
Uses of multimedia on video and audio application are increasing day-by-day on mobile devices. The continuity of these applications may hamper due to improper session rates during transmission. In this study we survey various papers for session rate prediction of streaming media using network traffic prediction methods. Also bandwidth estimation is carried out for the wireless network which plays a significant role in predicting the session rates. Our proposed session rate expression helps to understand the significance of predicting the session rate for streaming media in mobile wireless network. We study various proposals in this regard and the state-of-the-art analytical analysis is presented followed by our notations.
Keywords :
audio streaming; mobile communication; mobile handsets; multimedia communication; telecommunication traffic; video communication; video streaming; analytical analysis; audio application; bandwidth estimation; mobile devices; mobile wireless network; multimedia streaming; network traffic prediction methods; session rate prediction; video application; Bandwidth; Estimation; Kalman filters; Mobile computing; Prediction algorithms; Predictive models; Streaming media; bandwidth estimation; network traffic prediction; session rate prediction;
Conference_Titel :
Advance Computing Conference (IACC), 2014 IEEE International
Conference_Location :
Gurgaon
Print_ISBN :
978-1-4799-2571-1
DOI :
10.1109/IAdCC.2014.6779347