Performance Prediction of Wireless Vital Data Collection System for Exercisers by a Network Simulator

Takuma HAMAGAMI; Shinsuke HARA; Hiroyuki YOMO; Ryusuke MIYAMOTO; Yasutaka KAWAMOTO; Takunori SHIMAZAKI; Hiroyuki OKUHATA

doi:10.1587/transcom.2019HMP0004

Performance Prediction of Wireless Vital Data Collection System for Exercisers by a Network Simulator

Takuma HAMAGAMI, Shinsuke HARA, Hiroyuki YOMO, Ryusuke MIYAMOTO, Yasutaka KAWAMOTO, Takunori SHIMAZAKI, Hiroyuki OKUHATA

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When we collect vital data from exercisers by putting wireless sensor nodes to them, the reliability of the wireless data collection is dependent on the position of node on the body of exerciser, therefore, in order to determine the suitable body position, it is essential to evaluate the data collection performances by changing the body positions of nodes in experiments involving human subjects. However, their fair comparison is problematic, because the experiments have no repeatability, that is, we cannot evaluate the performances for multiple body positions in an experiment at the same time. In this paper, we predict the performances by a software network simulator. Using two main functions such as a channel state function and a mobility function, the network simulator can repeatedly generate the same channel and mobility conditions for nodes. Numerical result obtained by the network simulator shows that when collecting vital data from twenty two footballers in a game, among three body position such as waist, forearm and calf, the forearm position gives the highest data collection rate and the predicted data collection rates agree well with the ones obtained by an experiment involving real subjects.

Publication: IEICE TRANSACTIONS on Communications Vol.E103-B No.6 pp.653-661

Publication Date: 2020/06/01

Publicized: 2020/01/10

Online ISSN: 1745-1345

DOI: 10.1587/transcom.2019HMP0004

Type of Manuscript: Special Section PAPER (Special Section on Information and Communication Technology for IoT/CPS in Medicine and Healthcare)

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Authors

Takuma HAMAGAMI
  Oki Electric Industry Co., Ltd.
Shinsuke HARA
  Osaka City University
Hiroyuki YOMO
  Kansai University
Ryusuke MIYAMOTO
  Meiji University
Yasutaka KAWAMOTO
  Oki Electric Industry Co., Ltd.
Takunori SHIMAZAKI
  Osaka City University
Hiroyuki OKUHATA
  Soliton Systems K.K.

Keyword

wireless vital sensor nodes, data collection node, network simulator, experiment involving subjects

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Takuma HAMAGAMI, Shinsuke HARA, Hiroyuki YOMO, Ryusuke MIYAMOTO, Yasutaka KAWAMOTO, Takunori SHIMAZAKI, Hiroyuki OKUHATA, "Performance Prediction of Wireless Vital Data Collection System for Exercisers by a Network Simulator" in IEICE TRANSACTIONS on Communications, vol. E103-B, no. 6, pp. 653-661, June 2020, doi: 10.1587/transcom.2019HMP0004.
Abstract: When we collect vital data from exercisers by putting wireless sensor nodes to them, the reliability of the wireless data collection is dependent on the position of node on the body of exerciser, therefore, in order to determine the suitable body position, it is essential to evaluate the data collection performances by changing the body positions of nodes in experiments involving human subjects. However, their fair comparison is problematic, because the experiments have no repeatability, that is, we cannot evaluate the performances for multiple body positions in an experiment at the same time. In this paper, we predict the performances by a software network simulator. Using two main functions such as a channel state function and a mobility function, the network simulator can repeatedly generate the same channel and mobility conditions for nodes. Numerical result obtained by the network simulator shows that when collecting vital data from twenty two footballers in a game, among three body position such as waist, forearm and calf, the forearm position gives the highest data collection rate and the predicted data collection rates agree well with the ones obtained by an experiment involving real subjects.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2019HMP0004/_p

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@ARTICLE{e103-b_6_653,
author={Takuma HAMAGAMI, Shinsuke HARA, Hiroyuki YOMO, Ryusuke MIYAMOTO, Yasutaka KAWAMOTO, Takunori SHIMAZAKI, Hiroyuki OKUHATA, },
journal={IEICE TRANSACTIONS on Communications},
title={Performance Prediction of Wireless Vital Data Collection System for Exercisers by a Network Simulator},
year={2020},
volume={E103-B},
number={6},
pages={653-661},
abstract={When we collect vital data from exercisers by putting wireless sensor nodes to them, the reliability of the wireless data collection is dependent on the position of node on the body of exerciser, therefore, in order to determine the suitable body position, it is essential to evaluate the data collection performances by changing the body positions of nodes in experiments involving human subjects. However, their fair comparison is problematic, because the experiments have no repeatability, that is, we cannot evaluate the performances for multiple body positions in an experiment at the same time. In this paper, we predict the performances by a software network simulator. Using two main functions such as a channel state function and a mobility function, the network simulator can repeatedly generate the same channel and mobility conditions for nodes. Numerical result obtained by the network simulator shows that when collecting vital data from twenty two footballers in a game, among three body position such as waist, forearm and calf, the forearm position gives the highest data collection rate and the predicted data collection rates agree well with the ones obtained by an experiment involving real subjects.},
keywords={},
doi={10.1587/transcom.2019HMP0004},
ISSN={1745-1345},
month={June},}

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TY - JOUR
TI - Performance Prediction of Wireless Vital Data Collection System for Exercisers by a Network Simulator
T2 - IEICE TRANSACTIONS on Communications
SP - 653
EP - 661
AU - Takuma HAMAGAMI
AU - Shinsuke HARA
AU - Hiroyuki YOMO
AU - Ryusuke MIYAMOTO
AU - Yasutaka KAWAMOTO
AU - Takunori SHIMAZAKI
AU - Hiroyuki OKUHATA
PY - 2020
DO - 10.1587/transcom.2019HMP0004
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E103-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2020
AB - When we collect vital data from exercisers by putting wireless sensor nodes to them, the reliability of the wireless data collection is dependent on the position of node on the body of exerciser, therefore, in order to determine the suitable body position, it is essential to evaluate the data collection performances by changing the body positions of nodes in experiments involving human subjects. However, their fair comparison is problematic, because the experiments have no repeatability, that is, we cannot evaluate the performances for multiple body positions in an experiment at the same time. In this paper, we predict the performances by a software network simulator. Using two main functions such as a channel state function and a mobility function, the network simulator can repeatedly generate the same channel and mobility conditions for nodes. Numerical result obtained by the network simulator shows that when collecting vital data from twenty two footballers in a game, among three body position such as waist, forearm and calf, the forearm position gives the highest data collection rate and the predicted data collection rates agree well with the ones obtained by an experiment involving real subjects.
ER -