Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Evaluating geographic topological vulnerabilities

Long, X and Tipper, D and Gomes, T (2013) Evaluating geographic topological vulnerabilities. In: UNSPECIFIED.

[img] Plain Text (licence)
Available under License : See the attached license file.

Download (1kB)

Abstract

Measuring the survivability of core backbone communication networks to geographic correlated failures is important in network analysis and design. Different measures of network survivability have been used in the literature, for example, Algebraic Connectivity, Network Criticality, Average Shortest Path, Network Diameter, Node Degree and Node Strength. This paper proposes a new performance measure Weighted Spectrum to evaluate network survivability regarding geographic correlated failures. Further we conduct a comparative analysis by finding the most vulnerable geographic cuts or nodes in the network though solving an optimization problem to determine the cut with the largest impact for each measure. Numerical results on several sample network topologies show that the worst-case geographic cuts depend on the measure used in an unweighted graph. The proposed Weighted Spectrum measure is shown to be more versatile than other measures in unweighted and weighted graphs. © 2013 IEEE.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Long, Xxul10@pitt.eduXUL10
Tipper, Ddtipper@pitt.eduDTIPPER0000-0002-9429-6425
Gomes, T
Date: 1 January 2013
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: International Congress on Ultra Modern Telecommunications and Control Systems and Workshops
Page Range: 54 - 61
Event Type: Conference
DOI or Unique Handle: 10.1109/icumt.2013.6798404
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Telecommunications
Refereed: Yes
ISBN: 9781479911776
ISSN: 2157-0221
Date Deposited: 23 Jun 2014 21:18
Last Modified: 03 Jun 2019 14:55
URI: http://d-scholarship.pitt.edu/id/eprint/22018

Metrics

Monthly Views for the past 3 years

Plum Analytics

Altmetric.com


Actions (login required)

View Item View Item