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Achieving low-latency human-to-machine (H2M) applications: an understanding of H2M traffic for AI-facilitated bandwidth allocation

journal contribution
posted on 2021-01-01, 00:00 authored by Lihua Ruan, Imali DiasImali Dias, Elaine Wong
Achieving low-latency human-to-machine (H2M) applications: an understanding of H2M traffic for AI-facilitated bandwidth allocation

History

Journal

IEEE Internet of Things journal

Volume

8

Issue

1

Pagination

626 - 635

Publisher

Institute of Electrical and Electronics Engineers

Location

Piscataway, N.J.

Publisher DOI

eISSN

2372-2541

Language

eng

Publication classification

C1.1 Refereed article in a scholarly journal

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Achieving low-latency human-to-machine (H2M) applications: an understanding of H2M traffic for AI-facilitated bandwidth allocation
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Categories

Keywords

Bandwidth allocation schemehaptic communicationhuman-to-machine applicationslow latencytactile Internet

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