{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T19:12:09Z","timestamp":1772910729290,"version":"3.50.1"},"reference-count":65,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2022,5,7]],"date-time":"2022-05-07T00:00:00Z","timestamp":1651881600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior (CAPES)","award":["001"],"award-info":[{"award-number":["001"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>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\u2019s 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 \u22481300\u00d7 and reaching speedup rates of up to \u224852\u00d7.<\/jats:p>","DOI":"10.3390\/s22093556","type":"journal-article","created":{"date-parts":[[2022,5,8]],"date-time":"2022-05-08T23:27:25Z","timestamp":1652052445000},"page":"3556","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Prediction Techniques on FPGA for Latency Reduction on Tactile Internet"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6958-6754","authenticated-orcid":false,"given":"S\u00e9rgio N.","family":"Silva","sequence":"first","affiliation":[{"name":"Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6282-9744","authenticated-orcid":false,"given":"Lucileide M. D.","family":"da Silva","sequence":"additional","affiliation":[{"name":"Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil"},{"name":"Federal Institute of Education, Science and Technology of Rio Grande do Norte, Santa Cruz 59200-000, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8442-3291","authenticated-orcid":false,"given":"Leonardo A.","family":"Dias","sequence":"additional","affiliation":[{"name":"Centre for Cyber Security and Privacy, School of Computer Science, University of Birmingham, Birmingham B15 2TT, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7536-2506","authenticated-orcid":false,"given":"Marcelo A. C.","family":"Fernandes","sequence":"additional","affiliation":[{"name":"Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil"},{"name":"Department of Computer Engineering and Automation, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,5,7]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Dohler, M. (2015). The tactile internet IoT, 5G and cloud on steroids. 5G Radio Technology Seminar. Exploring Technical Challenges in the Emerging 5G Ecosystem, IEEE.","DOI":"10.1049\/ic.2015.0029"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Ateya, A.A., Khayyat, M., Muthanna, A., and Koucheryavy, A. (2019, January 28\u201330). Toward Tactile Internet. 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