DocumentCode
2114095
Title
An energy-efficient QoS routing scheme for many-to-many multicast requests in green multi-granularity transport networks
Author
Xingwei Wang ; Dapeng Qu ; Min Huang
Author_Institution
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
fYear
2013
fDate
23-25 July 2013
Firstpage
1050
Lastpage
1054
Abstract
With the wide spread use of the Internet and proliferation of devices, the energy consumed by the network increases significantly, thus necessitating the construction of green networks. In this paper, we design an energy-efficient routing scheme for multiple many-to-many multicast requests with known traffic demands in green multi-granularity transport networks. We present a probabilistic model which describes the probabilistic value of every edge comprising the solution of a many-to-many multicast request. We propose a heuristic algorithm based on the probabilistic model to construct multiple many-to-many multicast trees. Results from simulation experiments demonstrate that our proposed scheme consumes less energy as compared with other certain schemes.
Keywords
Internet; multicast communication; optical fibre networks; probability; quality of service; telecommunication network routing; telecommunication power management; telecommunication traffic; Internet; device proliferation; edge probabilistic value; energy consumption; energy-efficient QoS routing scheme; green multigranularity transport networks; heuristic algorithm; many-to-many multicast requests; many-to-many multicast trees; network traffic demand; probabilistic model; quality of service; Bandwidth; Energy consumption; Optical fiber networks; Optical switches; Quality of service; Repeaters; Routing; energy-efficient routing; many-to-many multicast; multi-granularity transport networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery (FSKD), 2013 10th International Conference on
Conference_Location
Shenyang
Type
conf
DOI
10.1109/FSKD.2013.6816351
Filename
6816351
Link To Document