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Article

Real-Time Compression for Tactile Internet Data Streams †

1
Department of Computer Science, Central Michigan University, Mount Pleasant, MI 48859, USA
2
School of Electrical, Computer, and Energy Engineering, Arizona State University, Tempe, AZ 85287-5706, USA
3
Centre for Tactile Internet with Human-in-the-Loop, Technische Universität Dresden, 01062 Dresden, Germany
*
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in Proceedings of the 2020 IEEE Global Communications (Globecom) Conference, Taipei, Taiwan, 7–11 December 2020.
Academic Editor: Paolo Bellavista
Sensors 2021, 21(5), 1924; https://doi.org/10.3390/s21051924
Received: 19 December 2020 / Revised: 2 March 2021 / Accepted: 5 March 2021 / Published: 9 March 2021
(This article belongs to the Section Internet of Things)
The Tactile Internet will require ultra-low latencies for combining machines and humans in systems where humans are in the control loop. Real-time and perceptual coding in these systems commonly require content-specific approaches. We present a generic approach based on deliberately reduced number accuracy and evaluate the trade-off between savings achieved and errors introduced with real-world data for kinesthetic movement and tele-surgery. Our combination of bitplane-level accuracy adaptability with perceptual threshold-based limits allows for great flexibility in broad application scenarios. Combining the attainable savings with the relatively small introduced errors enables the optimal selection of a working point for the method in actual implementations. View Full-Text
Keywords: tactile internet; real-time compression tactile internet; real-time compression
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MDPI and ACS Style

Seeling, P.; Reisslein, M.; Fitzek, F.H.P. Real-Time Compression for Tactile Internet Data Streams. Sensors 2021, 21, 1924. https://doi.org/10.3390/s21051924

AMA Style

Seeling P, Reisslein M, Fitzek FHP. Real-Time Compression for Tactile Internet Data Streams. Sensors. 2021; 21(5):1924. https://doi.org/10.3390/s21051924

Chicago/Turabian Style

Seeling, Patrick, Martin Reisslein, and Frank H. P. Fitzek. 2021. "Real-Time Compression for Tactile Internet Data Streams" Sensors 21, no. 5: 1924. https://doi.org/10.3390/s21051924

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