DocumentCode
2096435
Title
An Adaptive Queue Management Mechanism for Video Streaming over Mobile Ad Hoc Networks
Author
Wei, Shujie ; Bai, Guangwei ; Shen, Hang
Author_Institution
Dept. of Comput. Sci. & Technol., Nanjing Univ. of Technol., Nanjing, China
fYear
2009
fDate
24-26 Sept. 2009
Firstpage
1
Lastpage
4
Abstract
This paper proposes an adaptive queue management mechanism (AQM) based on bandwidth estimation for real-time multimedia streaming over mobile ad hoc networks. The purpose is to provide the soft QoS guarantee. At first, we use GM (1, 1) model to predict network bandwidth. On this basis, a mathematical model is proposed to determine a reasonable queue length, thus adjusting the queue length dynamically. To evaluate the AQM performance, we generate a set of video streams using NS2 simulation for typical network scenarios. Our statistical and mathematical analyses demonstrate that the AQM improves the performance of multimedia streaming significantly, in terms of packet loss rate and mean end-to-end delay.
Keywords
ad hoc networks; bandwidth allocation; grey systems; mobile radio; quality of service; queueing theory; telecommunication network management; video streaming; AQM; GM model; NS2 simulation; adaptive queue management mechanism; bandwidth estimation; dynamic queue length adjustment; mathematical analysis; mathematical model; mean end-to-end delay; mobile ad hoc network; network bandwidth prediction; packet loss rate; real-time multimedia streaming; soft QoS guarantee; statistical analysis; video streaming; Bandwidth; Computer network management; Data communication; Delay; Mathematical model; Mobile ad hoc networks; Paper technology; Predictive models; Streaming media; Technology management;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-3692-7
Electronic_ISBN
978-1-4244-3693-4
Type
conf
DOI
10.1109/WICOM.2009.5301909
Filename
5301909
Link To Document