Abstract
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.
Highlights
We note that this present study focuses on the compression of the tactile Internet data stream; and may be combined with compression of other data stream components, e.g., video streams [45,46,47], and compression of the Internet protocol headers [48]
We initially investigate the basic effects of the binary compression scheme alone, i.e., we employ a forced repeat on every individual value, independent of content changes
Data set for absolute deltas, relative deltas, and the Mean Squared Error (MSE), respectively
Summary
Mobile communication network bandwidth has become abundant in recent years, with new use cases emerging predominantly in the Internet of Everything realm. The increasing use of sensing, processing, and actuating control loops across sectors from agriculture over industry to leisure application scenarios has become ever increasing [1,2,3,4,5,6]. This has resulted in the consideration of these control loops with human operators in the loop, coined as the Tactile Internet (TI) [7,8]. Future communication networks will experience significant challenges to cope with ever-increasing latency demands in general, while the current focus is on industrial scenarios [9,10,11,12,13]
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