NDLI: Routing and spectrum allocation for video on-demand streaming in cognitive wireless mesh networks

Content Provider	IEEE Xplore Digital Library
Author	Yong Ding Li Xiao
Copyright Year	2010
Description	Author affiliation: Department of Computer Science and Engineering, Michigan State University, East Lansing, MI 48824 (Yong Ding; Li Xiao)
Abstract	Cognitive radio, which enables dynamic access of under-utilized licensed spectrums, is a promising technology for more efficient spectrum utilization. Since cognitive radio enables the access of larger amount of spectrum, it can be used to build wireless mesh networks with higher network capacity, and thus provide better quality of services for high bit-rate applications. In this paper, we study the multi-source video on-demand application in multiinterface cognitive wireless mesh networks. Given a video request, we find a joint multi-path routing and spectrum allocation for the session to minimize its total bandwidth cost in the network, and therefore maximize the number of sessions the network can support. We propose both distributed and centralized routing and channel allocation algorithms to solve the problem. Our algorithms not only increase the maximum number of concurrent sessions that can be supported in the network, but also improve each session's adaptivity to spectrum mobility.
Starting Page	242
Ending Page	251
File Size	294200
Page Count	10
File Format	PDF
ISBN	9781424474882
ISSN	21556806
e-ISBN	9781424474905
DOI	10.1109/MASS.2010.5664001
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-11-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless mesh networks Bandwidth Receivers Streaming media Routing Cognitive radio Resource management
Content Type	Text
Resource Type	Article

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