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  

Publication
IEICE TRANSACTIONS on Communications   Vol.E103-B   No.6   pp.653-661
Publication Date: 2020/06/01
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)
Category: 
Keyword: 
wireless vital sensor nodes,  data collection node,  network simulator,  experiment involving subjects,  

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Summary: 
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.