DocumentCode :
2272074
Title :
Identifying codes in random networks
Author :
Frieze, Alan ; Martin, Ryan ; Moncel, Julien ; Ruszinkó, Miklós ; Smyth, Cliff
Author_Institution :
Carnegie Mellon Univ., Pittsburgh, PA
fYear :
2005
fDate :
4-9 Sept. 2005
Firstpage :
1464
Lastpage :
1467
Abstract :
In this paper we deal with codes identifying sets of vertices in random graphs, that is l-identifying codes. These codes enable us to detect sets of faulty processors in a multiprocessor system, assuming that the maximum number of faulty processors is bounded by a fixed constant l. The l-identifying codes or simply identifying codes are of special interest. For random graphs we use the model G(n,p), in which each one of the (2 n) possible edges exists with probability p. We give upper and lower bounds on the minimum cardinality of an l-identifying code in a random graph, as well as threshold functions for the property of admitting such a code. We derive existence results from probabilistic constructions. A connection between identifying codes and superimposed codes is also established
Keywords :
codes; graph theory; set theory; faulty processors; identifying codes; multiprocessor system; random graphs; random networks; superimposed codes; threshold functions; Automation; Centralized control; Control systems; Fault detection; Fault diagnosis; Hardware; Intelligent networks; Multiprocessing systems; System testing; Terminology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 2005. ISIT 2005. Proceedings. International Symposium on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-9151-9
Type :
conf
DOI :
10.1109/ISIT.2005.1523586
Filename :
1523586
Link To Document :
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