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Paper Abstract and Keywords
Presentation 2023-07-14 10:45
[Invited Lecture] Energy-Efficient Collections of Informative Data from Wireless IoT Networks
Hiroyuki Yomo (Kansai Univ.) RCC2023-20 NS2023-44 RCS2023-95 SR2023-43 SeMI2023-36
Abstract (in Japanese) (See Japanese page) 
(in English) In this talk, we discuss how to efficiently collect informative data for users of IoT sensor networks. We first investigate how to save energy for aggregated query, which only extracts necessary data for users of wireless sensor networks, such as mean, variance, maximum, minimum, top–k set, and distribution of observed data. Specifically, we focus on top–k query, which aims to collect k highest readings inside a network, and show that data collections with small energy consumption and low delay can be achieved by the integration of wake–up control with probability density estimation of the observed data. Then, we investigate how to extract informative data from the network in a timely manner when the sensor readings very over time. We show that the query timing plays an important role to keep high degree of timeliness of the extracted data while achieving energy saving by only activating a minimum set of required nodes. Through these investigations, we discuss what the informative data is and how to efficiently extract
them in wireless networks.
Keyword (in Japanese) (See Japanese page) 
(in English) IoT / Sensor Network / Energy-Efficiency / Information Freshness / MAC / Wake-up Control / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 106, RCC2023-20, pp. 26-26, July 2023.
Paper # RCC2023-20 
Date of Issue 2023-07-05 (RCC, NS, RCS, SR, SeMI) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 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)
Download PDF RCC2023-20 NS2023-44 RCS2023-95 SR2023-43 SeMI2023-36

Conference Information
Committee SeMI RCS RCC NS SR  
Conference Date 2023-07-12 - 2023-07-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Osaka University Nakanoshima Center + Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Distributed Wireless Network, M2M (Machine-to-Machine)，D2D (Device-to-Device)，IoT（Internet of Things）, etc 
Paper Information
Registration To RCC 
Conference Code 2023-07-SeMI-RCS-RCC-NS-SR 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Energy-Efficient Collections of Informative Data from Wireless IoT Networks 
Sub Title (in English)  
Keyword(1) IoT  
Keyword(2) Sensor Network  
Keyword(3) Energy-Efficiency  
Keyword(4) Information Freshness  
Keyword(5) MAC  
Keyword(6) Wake-up Control  
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Keyword(8)  
1st Author's Name Hiroyuki Yomo  
1st Author's Affiliation Kansai University (Kansai Univ.)
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Speaker Author-1 
Date Time 2023-07-14 10:45:00 
Presentation Time 30 minutes 
Registration for RCC 
Paper # RCC2023-20, NS2023-44, RCS2023-95, SR2023-43, SeMI2023-36 
Volume (vol) vol.123 
Number (no) no.106(RCC), no.107(NS), no.108(RCS), no.109(SR), no.110(SeMI) 
Page p.26(RCC), p.62(NS), p.82(RCS), p.69(SR), p.67(SeMI) 
#Pages 1 
Date of Issue 2023-07-05 (RCC, NS, RCS, SR, SeMI) 

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