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Paper Abstract and Keywords
Presentation 2018-08-24 11:05
System Time Characteristics and Optimal Aggregation Number of Non-statistical Data Aggregation Scheme
Hideaki Yoshino, Kenko Ota, Takefumi Hiraguri (NIT) CQ2018-55
Abstract (in Japanese) (See Japanese page) 
(in English) In IoT systems utilizing a large amount of small-sized sensor data, a data aggregation function, which summarizes spatially distributed data, is effective for saving limited communication resources such as the radio frequency and sensor-node energy.
In a previous study, we have analyzed two fundamental statistical data aggregation schemes: constant interval and constant number, and derived the stationary distribution and the Laplace-Stieltjes transform (LST) of a system time and a total system time for each aggregation scheme. We also derived simple and accurate approximation formulas for the optimal aggregation interval and number.
In this paper, we analyze nonstatistical data aggregation scheme with the constant aggregation number. We analytically derive the stationary distribution and LST of the system time and the total system time and give an approximation for the mean total system time. We then numerically evaluated the stationary mean system time characteristics. We confirmed that the approximation gives sufficient accuracy for practical use. In addition, we clarified that the mean total system time has a linear relation to the overhead ratio, which corresponds to the header ratio to the transmitted data, and the optimal traffic intensity that minimizes the mean total system time does not depend on the overhead ratio. These results can provide a theoretical basis and guideline for designing aggregation devices such as IoT gateways.
Keyword (in Japanese) (See Japanese page) 
(in English) sensor data / optimal aggregation / IoT / queueing analysis / communication traffic / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 192, CQ2018-55, pp. 53-58, Aug. 2018.
Paper # CQ2018-55 
Date of Issue 2018-08-16 (CQ) 
ISSN Online edition: ISSN 2432-6380
Copyright
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All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee CQ  
Conference Date 2018-08-23 - 2018-08-24 
Place (in Japanese) (See Japanese page) 
Place (in English) Ritsumeikan Univ. Biwako-Kusatsu Campus (BKC) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) IoT/M2M, Wireless Communication, QoS and QoE in Wireless Communication, Wireless Resource Allocation, Wireless Transmission Quality, Cross layer Technology, Ad-hoc Network, etc. 
Paper Information
Registration To CQ 
Conference Code 2018-08-CQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) System Time Characteristics and Optimal Aggregation Number of Non-statistical Data Aggregation Scheme 
Sub Title (in English)  
Keyword(1) sensor data  
Keyword(2) optimal aggregation  
Keyword(3) IoT  
Keyword(4) queueing analysis  
Keyword(5) communication traffic  
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1st Author's Name Hideaki Yoshino  
1st Author's Affiliation Nippon Institute of Technology (NIT)
2nd Author's Name Kenko Ota  
2nd Author's Affiliation Nippon Institute of Technology (NIT)
3rd Author's Name Takefumi Hiraguri  
3rd Author's Affiliation Nippon Institute of Technology (NIT)
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Speaker Author-1 
Date Time 2018-08-24 11:05:00 
Presentation Time 25 minutes 
Registration for CQ 
Paper # CQ2018-55 
Volume (vol) vol.118 
Number (no) no.192 
Page pp.53-58 
#Pages
Date of Issue 2018-08-16 (CQ) 


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