DocumentCode
1890849
Title
Performance evaluation: Priority transmission using network coding with multi-generation mixing
Author
Halloush, Mohammed ; Radha, Hayder
Author_Institution
Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI
fYear
2009
fDate
18-20 March 2009
Firstpage
424
Lastpage
429
Abstract
In this paper, we evaluate the priority transmission characteristic of network coding (NC) with multi-generation mixing (MGM). MGM supports priority transmission by providing enhanced reliability for delivering different groups of sender packets. MGM is a generalized approach for practical network coding that enhances its performance. With MGM, sender packets are grouped in generations that constitute mixing sets. By employing the novel inter-generation network coding approach, each generation within a mixing set can be considered as a priority layer. This is due to the varying levels of data protection provided to the different generations within a mixing set. Traditionally, priority transmission is done by increasing the level of FEC protection assigned to sender data of higher priority. This incurs transmission overhead that consumes bandwidth. MGM supports priority transmission by network encoding data of higher priority in more sender packets so that more packets support its recovery. At the same time there is no increase in the total number of packets transmitted and hence no additional transmission overhead.
Keywords
encoding; FEC protection; data protection; inter-generation network coding; multi-generation mixing; performance evaluation; priority transmission; sender packets; Bandwidth; Context; Decoding; Encoding; Forward error correction; IEEE members; Network coding; Protection; Static VAr compensators; Telecommunication network reliability; Mixing set; Multi-Generation mixing; Network coding; Priority transmission;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Sciences and Systems, 2009. CISS 2009. 43rd Annual Conference on
Conference_Location
Baltimore, MD
Print_ISBN
978-1-4244-2733-8
Electronic_ISBN
978-1-4244-2734-5
Type
conf
DOI
10.1109/CISS.2009.5054758
Filename
5054758
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