DocumentCode :
3014227
Title :
Network RS codes for efficient network adversary localization
Author :
Yao, Hongyi ; Jaggi, Sidharth ; Chen, Minghua ; Ho, Tracey
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., California Inst. of Technol., Pasadena, CA, USA
fYear :
2010
fDate :
7-10 Nov. 2010
Firstpage :
724
Lastpage :
728
Abstract :
Network error localizations uses end-to-end observations to localize random or adversarial glitches. For error localization under random linear network codes (RLNCs) the schemes proposed in previous literatures require the priori knowledge of the network topology. Moreover, adversarial error localization is proved computationally intractable under RLNCs. The goal of current paper is designing new network coding schemes to improve the error localization performance of RLNCs while maintaining the key advantages of RLNCs. To be concrete, we introduce Network Reed-Solomon codes (NRSCs), which have the following features: 1. NRSCs are low-complexity distributed linear network codes. 2. NRSCs achieve the network multicast capacity with high probability. 3. In adversarially faulty networks NRSCs enable the receiver to locate a maximum number of adversarial errors in a computationally efficient manner. Moreover, the error localization schemes under NRSCs do not need the priori knowledge of the network topology and thus are robust against dynamic network updating.
Keywords :
Reed-Solomon codes; channel capacity; multicast communication; network coding; network topology; efficient network adversary localization; network RS codes; network Reed-Solomon codes; network multicast capacity; network topology; random linear network codes; Erbium; Network coding; Network topology; Polynomials; Receivers; Reed-Solomon codes; Throughput; Byzantine adversaries; Reed-Solomon codes; error localization; tomography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers (ASILOMAR), 2010 Conference Record of the Forty Fourth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
978-1-4244-9722-5
Type :
conf
DOI :
10.1109/ACSSC.2010.5757658
Filename :
5757658
Link To Document :
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