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Cross-Device Computation Coordination for Mobile Collocated Interactions with Wearables

Mobile devices, wearables and Internet-of-Things are crammed into smaller form factors and batteries, yet they encounter demanding applications such as big data analysis, data mining, machine learning, augmented reality and virtual reality. To meet such high demands in the multi-device ecology, mult...

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Detalles Bibliográficos
Autores principales: Yoon, Hyoseok, Shin, Choonsung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412203/
https://www.ncbi.nlm.nih.gov/pubmed/30781408
http://dx.doi.org/10.3390/s19040796
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author Yoon, Hyoseok
Shin, Choonsung
author_facet Yoon, Hyoseok
Shin, Choonsung
author_sort Yoon, Hyoseok
collection PubMed
description Mobile devices, wearables and Internet-of-Things are crammed into smaller form factors and batteries, yet they encounter demanding applications such as big data analysis, data mining, machine learning, augmented reality and virtual reality. To meet such high demands in the multi-device ecology, multiple devices should communicate collectively to share computation burdens and stay energy-efficient. In this paper, we present a cross-device computation coordination method for scenarios of mobile collocated interactions with wearables. We formally define a cross-device computation coordination problem and propose a method for solving this problem. Lastly, we demonstrate the feasibility of our approach through experiments and exemplar cases using 12 commercial Android devices with varying computation capabilities.
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spelling pubmed-64122032019-04-03 Cross-Device Computation Coordination for Mobile Collocated Interactions with Wearables Yoon, Hyoseok Shin, Choonsung Sensors (Basel) Article Mobile devices, wearables and Internet-of-Things are crammed into smaller form factors and batteries, yet they encounter demanding applications such as big data analysis, data mining, machine learning, augmented reality and virtual reality. To meet such high demands in the multi-device ecology, multiple devices should communicate collectively to share computation burdens and stay energy-efficient. In this paper, we present a cross-device computation coordination method for scenarios of mobile collocated interactions with wearables. We formally define a cross-device computation coordination problem and propose a method for solving this problem. Lastly, we demonstrate the feasibility of our approach through experiments and exemplar cases using 12 commercial Android devices with varying computation capabilities. MDPI 2019-02-15 /pmc/articles/PMC6412203/ /pubmed/30781408 http://dx.doi.org/10.3390/s19040796 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yoon, Hyoseok
Shin, Choonsung
Cross-Device Computation Coordination for Mobile Collocated Interactions with Wearables
title Cross-Device Computation Coordination for Mobile Collocated Interactions with Wearables
title_full Cross-Device Computation Coordination for Mobile Collocated Interactions with Wearables
title_fullStr Cross-Device Computation Coordination for Mobile Collocated Interactions with Wearables
title_full_unstemmed Cross-Device Computation Coordination for Mobile Collocated Interactions with Wearables
title_short Cross-Device Computation Coordination for Mobile Collocated Interactions with Wearables
title_sort cross-device computation coordination for mobile collocated interactions with wearables
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412203/
https://www.ncbi.nlm.nih.gov/pubmed/30781408
http://dx.doi.org/10.3390/s19040796
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