Prediction Techniques on FPGA for Latency Reduction on Tactile Internet

Sensors

Leonardo A. Dias¹  Sérgio N. Silva²  Lucileide M. D. da Silva²  Marcelo A. C. Fernandes² 

[1] Centre for Cyber Security and Privacy, School of Computer Science, University of Birmingham, Birmingham B15 2TT, UK;Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil;

关键词: tactile internet;    robotic;    FPGA;    latency;   

DOI  :  10.3390/s22093556

来源: DOAJ

【 摘 要 】

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 ≈$1300\times$ and reaching speedup rates of up to ≈$52\times$.

【 授权许可】

Unknown