Search from over 60,000 research works

Advanced Search

A lower bound on the size of k-neighborhood in generalized cubes

Full text not archived in this repository.
Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Yang, X.F., Megson, G.M., Cao, J.Q. and Luo, J. (2006) A lower bound on the size of k-neighborhood in generalized cubes. Applied Mathematics and Computation, 179 (1). pp. 47-54. ISSN 0096-3003 doi: 10.1016/j.ame.2005.11.080

Abstract/Summary

The determination of the minimum size of a k-neighborhood (i.e., a neighborhood of a set of k nodes) in a given graph is essential in the analysis of diagnosability and fault tolerance of multicomputer systems. The generalized cubes include the hypercube and most hypercube variants as special cases. In this paper, we present a lower bound on the size of a k-neighborhood in n-dimensional generalized cubes, where 2n + 1 <= k <= 3n - 2. This lower bound is tight in that it is met by the n-dimensional hypercube. Our result is an extension of two previously known results. (c) 2005 Elsevier Inc. All rights reserved.

Altmetric Badge

Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/15477
Item Type Article
Refereed Yes
Divisions Science
Uncontrolled Keywords interconnection network, hypercube, generalized cube, k-neighborhood, MAXIMAL CONNECTED COMPONENT, FAULTY VERTICES, DIAGNOSABILITY, HYPERCUBE, TOPOLOGY, SYSTEMS, NETWORK
Download/View statistics View download statistics for this item

University Staff: Request a correction | Centaur Editors: Update this record

Search Google Scholar