Title
Identifying Codes In Random Networks
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 e. The 1-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 ((n)(2)) 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.
Year
DOI
Venue
2005
10.1109/ISIT.2005.1523586
2005 IEEE International Symposium on Information Theory (ISIT), Vols 1 and 2
Keywords
Field
DocType
random graphs,upper and lower bounds,codes,random graph,graph theory,set theory
Discrete mathematics,Hamming code,Online codes,Combinatorics,Concatenated error correction code,Luby transform code,Computer science,Block code,Expander code,Reed–Muller code,Linear code
Conference
Citations 
PageRank 
References 
2
0.39
3
Authors
5
Name
Order
Citations
PageRank
Alan M. Frieze14837787.00
Ryan Martin214414.43
Julien Moncel319117.33
Miklós Ruszinko481.30
Cliff Smyth5644.92