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A Monte Carlo based computation offloading algorithm for feeding robot IoT system
Waseda University, Japan.
Tokyo Institute of Technology, Japan.
Tokyo Institute of Technology, Japan.
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Engineering and Physics (from 2013).ORCID iD: 0000-0002-6865-7346
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2018 (English)In: Smart Computing and Communication / [ed] M. Qiu, Springer, 2018, p. 163-171Conference paper, Published paper (Refereed)
Abstract [en]

Ageing is becoming an increasingly major problem in European and Japanese societies. We have so far mainly focused on how to improve the eating experience for both frail elderly and caregivers by introducing and developing the eating aid robot, Bestic, made to get the food from plate to the mouth for frail elderly or person with disabilities. We expand the functionalities of Bestic to create food intake reports automatically so as to decrease the undernutrition among frail elderly and workload of caregivers through collecting data via a vision system connected to the Internet of Things (IoT) system. Since the computation capability of Bestic is very limited, computation offloading, in which resource intensive computational tasks are transferred from Bestic to an external cloud server, is proposed to solve Bestic’s resource limitation. In this paper, we proposed a Monte Carlo algorithm based heuristic computation offloading algorithm, to minimize the total overhead of all the Bestic users after we show that the target optimization problem is NP-hard in a theorem. Numeric results showed that the proposed algorithm is effective in terms of system-wide overhead.

Place, publisher, year, edition, pages
Springer, 2018. p. 163-171
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 11344
Keywords [en]
Computation offloading, Eating robot, IoT, Computation theory, Monte Carlo methods, Robots, Cloud servers, Computational task, Internet of thing (IOT), Monte carlo algorithms, Resource limitations, Target optimization, Vision systems, Internet of things
National Category
Robotics
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kau:diva-71257DOI: 10.1007/978-3-030-05755-8_17Scopus ID: 2-s2.0-85058561419ISBN: 9783030057541 (print)OAI: oai:DiVA.org:kau-71257DiVA, id: diva2:1290749
Conference
3rd International Conference on Smart Computing and Communications, SmartCom 2018. Tokyo, Japan, 10 December 2018 through 12 December 2018.
Available from: 2019-02-21 Created: 2019-02-21 Last updated: 2019-11-11Bibliographically approved

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Solis, Jorge

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
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  • nn-NB
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  • Other locale
More languages
Output format
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  • asciidoc
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