DocumentCode :
3444234
Title :
Traffic Characterization and Modeling for Video Streaming Over Multi-Hop WLANs
Author :
Wang, Junyuan ; Bai, Guangwei ; Shen, Hang
Author_Institution :
Dept. of Comput. Sci. & Technol., Nanjing Univ. of Technol., Nanjing
fYear :
2008
fDate :
12-14 Oct. 2008
Firstpage :
1
Lastpage :
5
Abstract :
Real-time media streaming in wireless network has seen increased demand on the Internet in recent years, and has drawn tremendous attention from both academia and industry as well. Preliminary traffic measurements demonstrate that data traffic in wireless communication also exhibits self-similarity. However, little research on wireless media streaming is seen in publication. The purpose of this paper is to characterize video streaming traffic over multi-hop wireless local area networks. We begin with an investigation of the video streaming data generated using NS simulation for two typical network scenarios. On this basis, we proposed a new gamma distribution based wavelet model for wireless video traffic. Our mathematical analyses show that this model can capture all traffic characteristics of wireless video streaming, including traffic arrival and self-similarity.
Keywords :
gamma distribution; telecommunication traffic; video streaming; wavelet transforms; wireless LAN; data traffic; gamma distribution; multihop WLAN; real-time media streaming; self-similarity; traffic arrival; video streaming; wavelet model; wireless communication; wireless local area network; wireless video traffic; IP networks; Mathematical analysis; Mathematical model; Spread spectrum communication; Streaming media; Telecommunication traffic; Traffic control; Wireless LAN; Wireless communication; Wireless networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-2107-7
Electronic_ISBN :
978-1-4244-2108-4
Type :
conf
DOI :
10.1109/WiCom.2008.1066
Filename :
4678974
Link To Document :
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