Prediction Techniques on FPGA for Latency Reduction on Tactile Internet

• Main Authors: da Silva, L.M.D (Author), Dias, L.A (Author), Fernandes, M.A.C (Author), Silva, S.N (Author)
• Format: Article
• Language: English
• Published: MDPI 2022
• Subjects: Communications channels; Data handling; Electric power utilization; Field programmable gate arrays (FPGA); Forecasting; FPGA; Interaction information; Internet application; latency; Latency; Latency reduction; Low latency; Prediction techniques; Reconfigurable architectures; Reconfigurable hardware; robotic; Robotic; tactile internet; Tactile internet; Touch interaction
• Online Access: View Fulltext in Publisher

 Tactile Internet (TI) is a new internet paradigm that enables sending touch interaction information and other stimuli, which will lead to new human-to-machine applications. However, TI applications require very low latency between devices, as the system’s latency can result from the communication channel, processing power of local devices, and the complexity of the data processing techniques, among others. Therefore, this work proposes using dedicated hardware-based reconfigurable computing to reduce the latency of prediction techniques applied to TI. Finally, we demonstrate that prediction techniques developed on field-programmable gate array (FPGA) can minimize the impacts caused by delays and loss of information. To validate our proposal, we present a comparison between software and hardware implementations and analyze synthesis results regarding hardware area occupation, throughput, and power consumption. Furthermore, comparisons with state-of-the-art works are presented, showing a significant reduction in power consumption of ≈1300× and reaching speedup rates of up to ≈52×. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.