Paper Abstract and Keywords |
Presentation |
2023-11-12 10:00
Point Cloud Data Trading Model Considering Compensation Distribution to Minimize Maximum Dissatisfaction Based on Collected Area Jin Watanabe, Sumiko Miyata (SIT), Kenji Kanai (WU) CCS2023-33 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The digital twin is said to be a key technology for the next generation of smart cities.
The Digital Twin is expected to enable the collection and distribution of all kinds of up-to-date urban data in a form that can be utilised. A co-creation digital twin ecosystem in which people become data providers has been proposed in order to make the digital twin sustainable and self-growing.
One of the functional requirements of this co-created digital twin is the optimisation of the distribution of compensation between data providers and consumers. In order to optimise the distribution of compensation, we model data transactions by considering the co-creation digital twin as a cooperative game.
We have modelled a cooperative data trading game focusing on the data provider side, using the cooperative game theory of coalitional form game, and introduced a price design for point cloud data. However, we have not considered excess, a measure of provider satisfaction. Therefore, in this paper, we determine the distribution amount of rewards to each data provider with a focus on Nucleolus, which is the allocation that minimises "maximum excess claim" in cooperative game theory. Note: This report is not a reviewed paper. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Digital Twins / point cloud / anti-dual game / nucleolus / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 123, no. 253, CCS2023-33, pp. 47-52, Nov. 2023. |
Paper # |
CCS2023-33 |
Date of Issue |
2023-11-04 (CCS) |
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) |
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CCS2023-33 |
Conference Information |
Committee |
CCS |
Conference Date |
2023-11-11 - 2023-11-12 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Toyama Prefectural University |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
CCS, etc. |
Paper Information |
Registration To |
CCS |
Conference Code |
2023-11-CCS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Point Cloud Data Trading Model Considering Compensation Distribution to Minimize Maximum Dissatisfaction Based on Collected Area |
Sub Title (in English) |
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Digital Twins |
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point cloud |
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anti-dual game |
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nucleolus |
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1st Author's Name |
Jin Watanabe |
1st Author's Affiliation |
Shibaura Institute of Technology (SIT) |
2nd Author's Name |
Sumiko Miyata |
2nd Author's Affiliation |
Shibaura Institute of Technology (SIT) |
3rd Author's Name |
Kenji Kanai |
3rd Author's Affiliation |
Waseda University (WU) |
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Speaker |
Author-1 |
Date Time |
2023-11-12 10:00:00 |
Presentation Time |
25 minutes |
Registration for |
CCS |
Paper # |
CCS2023-33 |
Volume (vol) |
vol.123 |
Number (no) |
no.253 |
Page |
pp.47-52 |
#Pages |
6 |
Date of Issue |
2023-11-04 (CCS) |
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