| Presentation | 2023-11-12 Point Cloud Data Trading Model Considering Compensation Distribution to Minimize Maximum Dissatisfaction Based on Collected Area Jin Watanabe, Sumiko Miyata, Kenji Kanai, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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) |
| Keyword(in English) | Digital Twins / point cloud / anti-dual game / nucleolus |
| Paper # | CCS2023-33 |
| Date of Issue | 2023-11-04 (CCS) |
| Conference Information | |
| Committee | CCS |
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| Conference Date | 2023/11/11(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Toyama Prefectural University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | CCS, etc. |
| Chair | Masaki Aida(TMU) |
| Vice Chair | Hidehiro Nakano(Tokyo City Univ.) / Atsushi Uchida(Saitama Univ.) |
| Secretary | Hidehiro Nakano(Shibaura Inst. of Tech.) / Atsushi Uchida(Shonan Inst. of Tech.) |
| Assistant | Hiroyuki Yasuda(Univ. of Tokyo) / Miki Kobayashi(Rissho Univ.) / Kazutaka Kanno(Saitama Univ.) / Naoya Fujiwara(Tohoku Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Complex Communication Sciences |
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| Language | JPN |
| 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) | |
| Keyword(1) | Digital Twins |
| Keyword(2) | point cloud |
| Keyword(3) | anti-dual game |
| Keyword(4) | nucleolus |
| 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) |
| Date | 2023-11-12 |
| Paper # | CCS2023-33 |
| Volume (vol) | vol.123 |
| Number (no) | CCS-253 |
| Page | pp.pp.47-52(CCS), |
| #Pages | 6 |
| Date of Issue | 2023-11-04 (CCS) |