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
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