ETVO

Effectively Measuring Tactile Internet With Experimental Validation

Journal Article (2024)
Author(s)

Herman Kroep (TU Delft - Embedded Systems, TU Delft - Networked Systems)

Vineet Gokhale (TU Delft - Networked Systems)

Joseph Verburg (Student TU Delft)

RangaRao Venkatesha Prasad (TU Delft - Networked Systems)

Research Group
Networked Systems
Copyright
© 2024 H.J.C. Kroep, V. Gokhale, Joseph Verburg, Ranga Rao Venkatesha Prasad
DOI related publication
https://doi.org/10.1109/TMC.2023.3246659
More Info
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Publication Year
2024
Language
English
Copyright
© 2024 H.J.C. Kroep, V. Gokhale, Joseph Verburg, Ranga Rao Venkatesha Prasad
Research Group
Networked Systems
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Issue number
3
Volume number
23
Pages (from-to)
2054-2065
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Abstract

The next frontier in communications is teleoperation - manipulation and control of remote environments with haptic feedback. Compared to conventional networked applications, teleoperation poses widely different requirements, ultra-low latency (ULL) is primary. Realizing ULL communication demands significant redesign of conventional networking techniques, and the network infrastructure envisioned for achieving this is termed as Tactile Internet (TI). The design of meaningful performance metrics is crucial for seamless TI communication. However, existing performance metrics fall severely short of comprehensively characterizing TI performance due to their inability to capture how well sensed signals are reproduced. We take Dynamic Time Warping(DTW) as the basis of our work and identify necessary changes for characterizing TI performance. Through substantial refinements to DTW, we design Effective Time- and Value-Offset (ETVO) - a new method for measuring the fine-grained performance of TI systems. Through an in-depth objective analysis, we demonstrate the improvements of ETVO over DTW. Through subjective experiments, we demonstrate that existing QoS and QoE methods fall short of estimating the TI session performance accurately. Using subjective experiments, we demonstrate the behavior of the proposed metrics, their ability to match theoretically derived performance, and finally, their ability to reflect user satisfaction in a practical setting.

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