Tactile electronics meets softwarised networks

Research output: Contribution to book/conference proceedings/anthology/reportConference contributionContributedpeer-review

Abstract

The future Tactile Internet with Human in the Loop (TaHiL) [1] enables a perceived real-time interaction between a human and a remote physical or virtual object. Human intention needs to be inferred from data captured by sensors throughout the body and even the brain. Therefore, the prediction can happen already in a machine attached to the human body (or so-called a Body Computing Hub, BCH). This human-machine coaugmentation requires Tactile electronics [2] with extreme requirements, such as ultra-small, stretchable, and ultra-low-energy consumption, allowing for sensing at extremely low latency. However, for a human to interact with a real or virtual object across the globe, tactile electronics require tight integration with softwarised networks [3] , wireline or wireless, with extremely low latency. Such networks can also bring the computing capability to human's proximity, such as a network edge, by leveraging Network Function Virtualization (NFV) and Software-Defined Networking (SDN). Even though critical, the integration between tactile electronics in a body area network (BAN) and external softwarised networks is uncovered in the literature. This paper explores vital connections between tactile electronics and fully softwarised networks, focusing on adapting all layers from electronics to network and application.

Details

Original languageEnglish
Title of host publicationProceedings of the IEEE Consumer Communications Networking Conference (CCNC)
Pages961-962
Number of pages2
Publication statusPublished - 10 Jan 2022
Peer-reviewedYes

Conference

Title2022 IEEE 19th Consumer Communications & Networking Conference
Abbreviated titleCCNC 2022
Conference number19
Duration8 - 11 January 2022
Degree of recognitionInternational event
Locationonline
CityLas Vegas
CountryUnited States of America

External IDs

Scopus 85135731473
dblp conf/ccnc/WagnerMZWLF022
ORCID /0000-0003-1319-0870/work/141545124
ORCID /0000-0001-6778-7846/work/142240146
ORCID /0000-0001-7008-1537/work/142248641
ORCID /0009-0001-4069-3062/work/142251801