Setting the Yardstick

A Quantitative Metric for Effectively Measuring Tactile Internet

Conference Paper (2020)
Author(s)

J.P. Verburg (Student TU Delft)

H.J.C. Kroep (TU Delft - Electrical Engineering, Mathematics and Computer Science)

V. Gokhale (TU Delft - Electrical Engineering, Mathematics and Computer Science)

R. Venkatesha Prasad (TU Delft - Electrical Engineering, Mathematics and Computer Science)

V. Rao (Cognizant Technology Solutions)

Research Group
Embedded Systems
DOI related publication
https://doi.org/10.1109/INFOCOM41043.2020.9155540 Final published version
More Info
expand_more
Publication Year
2020
Language
English
Research Group
Embedded Systems
Article number
9155540
Pages (from-to)
1937-1946
ISBN (print)
978-1-7281-6413-7
ISBN (electronic)
978-1-7281-6412-0
Event
38th IEEE Conference on Computer Communications, INFOCOM 2020 (2020-07-06 - 2020-07-09), Toronto, Canada
Downloads counter
251

Abstract

The next frontier in communications is teleoperation - manipulation and control of remote environments. Compared to conventional networked applications, teleoperation poses widely different requirements, ultra-low latency (ULL) being the primary one. Teleoperation, along with a host of other applications requiring ULL communication, is termed as Tactile Internet (TI). A significant redesign of conventional networking techniques is necessary to realize TI applications. Further, these advancements can be evaluated only when meaningful performance metrics are available. However, existing TI performance metrics fall severely short of comprehensively characterizing TI performance. In this paper, we take the first step towards bridging this gap. To this end, we propose a method that captures the fine-grained performance of TI in terms of delay and precision. We take Dynamic Time Warping (DTW) as the basis of our work and identify whether it is sufficient in characterizing TI systems. We refine DTW by developing a framework called Effective Time- and Value-Offset (ETVO) that extracts fine-grained time and value offsets between input and output signals of TI. Using ETVO, we present two quantitative metrics for TI - Effective Delay-Derivative (EDD) and Effective Root Mean Square Error. Through rigorous experiments conducted on a realistic TI setup, we demonstrate the potential of the proposed metrics to precisely characterize TI interactions.