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Paper Abstract and Keywords
Presentation 2020-01-30 14:50
Considering Reward-Based Allocation Strategies in Multiple Crowdsensing
Yoshiki Amano, Osamu Mizuno (Kogkuin Univ) SeMI2019-101
Abstract (in Japanese) (See Japanese page) 
(in English) Crowd sensing is useful to monitor wide-area data, such as environmental conditions, traffic conditions. It uses sensors in mobile terminals, which belong to general users. In order to effective crowd sensing, many general users need to participate. Therefore, how to give incentives to general users is essential for encouraging participation. In the previous research, we proposed the incentive mechanism applying auction theories. However, this mechanism works once for recruiting participants. It is neccesary to expand multiple times recruiting because many users would move from/to the sencing area. In this report, we propose the incentive mechanism when performing crowd sensing multiple times.
Keyword (in Japanese) (See Japanese page) 
(in English) Crowdsensing / Incentive Mechanism / Auction Theory / / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 406, SeMI2019-101, pp. 11-16, Jan. 2020.
Paper # SeMI2019-101 
Date of Issue 2020-01-23 (SeMI) 
ISSN Online edition: ISSN 2432-6380
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 SeMI  
Conference Date 2020-01-30 - 2020-01-31 
Place (in Japanese) (See Japanese page) 
Place (in English)  
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Paper Information
Registration To SeMI 
Conference Code 2020-01-SeMI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Considering Reward-Based Allocation Strategies in Multiple Crowdsensing 
Sub Title (in English)  
Keyword(1) Crowdsensing  
Keyword(2) Incentive Mechanism  
Keyword(3) Auction Theory  
1st Author's Name Yoshiki Amano  
1st Author's Affiliation Kogkuin University (Kogkuin Univ)
2nd Author's Name Osamu Mizuno  
2nd Author's Affiliation Kogkuin University (Kogkuin Univ)
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Speaker Author-1 
Date Time 2020-01-30 14:50:00 
Presentation Time 25 minutes 
Registration for SeMI 
Paper # SeMI2019-101 
Volume (vol) vol.119 
Number (no) no.406 
Page pp.11-16 
Date of Issue 2020-01-23 (SeMI) 

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