An information theoretic approach to network tomography

Wendy K. Tam Cho and George Judge ()

Applied Economics Letters, 2015, vol. 22, issue 1, 1-6

Abstract: In this article, we formulate an information theoretic approach to information recovery for a network flow transportation problem as an ill-posed inverse problem and use nonparametric information theoretic methods to recover the unknown adaptive-intelligent behaviour traffic flows. We indicate how, in general, information theoretic methods may provide a solution to the ill-posed inverse information flow problems, when a function must be inferred from insufficient sample information. As an application, we examine a data set which comprised traffic volumes at Bell Labs.

Date: 2015
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DOI: 10.1080/13504851.2013.866199

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