Estimation of Internet Node Location by Latency Measurements - The Underestimation Problem

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Authors

Komosný, Dan
Vozňák, Miroslav
Ganeshan, Kathiravelu
Sathu, Hira

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Referee

Mark

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Kaunas University of Technology
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Abstract

In this paper we deal with discovering a geographic location of a node in the Internet. Knowledge of location is a fundamental element for many location based applications and web services. We focus on location finding without any assistance of the node being located - client-independent estimation. We estimate a location using communication latency measurements between nodes in the Internet. The latency measured is converted into a geographic distance which is used to derive a location by the multilateration (triangulation) principle. We analyse the latency-to-distance conversion with a consideration of location underestimation which is a product of multilateration failure. We demonstrate that location underestimations do not appear in experimental conditions. However with a real-world scenario, a number of devices cannot be located due to underestimations. Finally, we propose a modification to reduce the number of underestimations in real-world scenarios.
In this paper we deal with discovering a geographic location of a node in the Internet. Knowledge of location is a fundamental element for many location based applications and web services. We focus on location finding without any assistance of the node being located - client-independent estimation. We estimate a location using communication latency measurements between nodes in the Internet. The latency measured is converted into a geographic distance which is used to derive a location by the multilateration (triangulation) principle. We analyse the latency-to-distance conversion with a consideration of location underestimation which is a product of multilateration failure. We demonstrate that location underestimations do not appear in experimental conditions. However with a real-world scenario, a number of devices cannot be located due to underestimations. Finally, we propose a modification to reduce the number of underestimations in real-world scenarios.

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Information Technology and Control. 2015, vol. 44, issue 3, p. 279-286.
https://itc.ktu.lt/index.php/ITC/article/view/8353

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Peer-reviewed

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en

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Except where otherwised noted, this item's license is described as Creative Commons Attribution 4.0 International
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