Kabir, M. Nomani and Rahman, Md. Arafatur and Azad, Saiful and Azim, Mohamed Mostafa A. and Bhuiyan, Md Zakirul Alam (2018) A connection probability model for communications networks under regional failures. International Journal of Critical Infrastructure Protection, 20. pp. 16-25. ISSN 1874-5482. (Published)
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Abstract
Communications networks are often disrupted by human-initiated and natural disasters such as terrorist bombings, aerial bombardment, earthquakes, floods and volcanic eruptions. Estimating the connection probability of a communications network under a regional failure caused by such an event is essential to evaluating network performance. This paper proposes a probabilistic model called the Connection Probability of a Communications Network under Regional Failures. The proposed model estimates the connection probability of each link that connects a pair of nodes under a failure scenario; these probabilities are then used to compute the generalized connection probability metrics for the network of interest. The model is continuous over its failure region, which is considered to be circular with a certain radius. The maximum failure impact occurs at the epicenter and the impact gradually drops to zero beyond the failure circle. The model helps identify the failed network links and their degrees of failure. A case study involving the U.S. backbone communications network with various failure epicenters and radii demonstrates the applicability and utility of the proposed model.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Communications Networks; Failures; Connection-Probability Analysis; Modeling and Simulation |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Faculty/Division: | Faculty of Computer System And Software Engineering |
| Depositing User: | Dr. Muhammad Nomani Kabir |
| Date Deposited: | 04 Jan 2019 06:37 |
| Last Modified: | 10 Dec 2019 06:49 |
| URI: | http://umpir.ump.edu.my/id/eprint/23482 |
| Download Statistic: | View Download Statistics |
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