DocumentCode :
2802619
Title :
Evaluation of multicast error recovery using convolutional codes
Author :
Yamaguchi, Anna ; Arai, Masayuki ; Iwasaki, Kazuhiko
Author_Institution :
Graduate Sch. of Eng., Tokyo Metropolitan Univ., Japan
fYear :
2000
fDate :
2000
Firstpage :
37
Lastpage :
44
Abstract :
Packet losses due to congested traffic conditions in the Internet leads to the investigation of the reliable delivery of data to multicast receivers. In this paper, we examine the technique based on FEC, using (n, k, m) convolutional codes to recover lost packets. We show that when the redundant packets are generated by convolutional codes, a receiver can tolerate a certain amount of packet loss and still be able to obtain all data without requiring retransmission. We evaluate the effectiveness of the proposed approach to perform the recovery of lost packets for multicast transmission taking into account two different parameters: the number of packets needed to be sent to guarantee the reception of data, and the number of transmissions. Finally, we compare the proposed approach with the scheme when parity packets are based on Reed-Solomon codes. We demonstrate that the use of parity generated by convolutional coding is more efficient at reducing bandwidth requirements and the number of transmissions from the source
Keywords :
convolutional codes; fault tolerance; multicast communication; packet switching; Internet; congested traffic conditions; convolutional codes; convolutional coding; lost packets; multicast error recovery; parity packets; reliable delivery; Automatic repeat request; Convolutional codes; Data engineering; Error correction; Forward error correction; Internet; Multicast protocols; Reed-Solomon codes; Reliability engineering; Transport protocols;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Dependable Computing, 2000. Proceedings. 2000 Pacific Rim International Symposium on
Conference_Location :
Los Angeles, CA
Print_ISBN :
0-7695-0975-4
Type :
conf
DOI :
10.1109/PRDC.2000.897282
Filename :
897282
Link To Document :
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