DocumentCode
2288585
Title
Improving unsegmented network coding for opportunistic routing in wireless mesh network
Author
Chen, Chen ; Dong, Chao ; Wu, Fan ; Wang, Hai ; Peng, Laixian ; Nie, Jingnan
Author_Institution
Inst. of Commun. Eng., P.L.A. Univ. of Sci. & Technol., China
fYear
2012
fDate
1-4 April 2012
Firstpage
1847
Lastpage
1852
Abstract
Unsegmented network coding was incorporated into opportunistic routing to improve inefficient schedule of segmented network coding due to delayed feedback. However, most unsegmented network coding schemes fail to constrain the size of decoding window. Large decoding window not only challenges limited computational ability and decoding memory in practical environments, but also introduces large decoding delay, which is undesirable in delay sensitive applications. In this paper, we prove that the possibility of unacceptably large decoding window is innegligible, and verify the necessity of handling decoding window. To solve the issue, we argue that the number of unknown packets injected into the network must be strictly constrained at the source. Based on the idea, we improve unsegmented network coding scheme for opportunistic routing. Simulation results shows that the solution is robust to losses. In addition, to achieve optimal throughput, the redundancy factor should be selected larger than the reciprocal of end-to-end delivery ratio.
Keywords
decoding; delays; feedback; network coding; scheduling; source coding; telecommunication network routing; wireless mesh networks; decoding delay; decoding memory; decoding window size; delay sensitive application; end-to-end delivery ratio; feedback delay; opportunistic routing; redundancy factor; segmented network coding scheduling; unknown packet injection; unsegmented network coding; wireless mesh network; Decoding; Encoding; Network coding; Redundancy; Routing; Schedules; Throughput;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications and Networking Conference (WCNC), 2012 IEEE
Conference_Location
Shanghai
ISSN
1525-3511
Print_ISBN
978-1-4673-0436-8
Type
conf
DOI
10.1109/WCNC.2012.6214086
Filename
6214086
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