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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2405.16495 |
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| _version_ | 1866909211059814400 |
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| author | Chiu, Michael T. C. Mahajan, Sachit Ballandies, Mark C. Kalabić, Uroš V. |
| author_facet | Chiu, Michael T. C. Mahajan, Sachit Ballandies, Mark C. Kalabić, Uroš V. |
| contents | There is always demand for integrating data into microeconomic decision making. Participatory sensing deals with how real-world data may be extracted with stakeholder participation and resolves a problem of Big Data, which is concerned with monetizing data extracted from individuals without their participation. We present how Decentralized Physical Infrastructure Networks (DePINs) extend participatory sensing. We discuss the threat models of these networks and how DePIN cryptoeconomics can advance participatory sensing. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_16495 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | DePIN: A Framework for Token-Incentivized Participatory Sensing Chiu, Michael T. C. Mahajan, Sachit Ballandies, Mark C. Kalabić, Uroš V. Computer Science and Game Theory There is always demand for integrating data into microeconomic decision making. Participatory sensing deals with how real-world data may be extracted with stakeholder participation and resolves a problem of Big Data, which is concerned with monetizing data extracted from individuals without their participation. We present how Decentralized Physical Infrastructure Networks (DePINs) extend participatory sensing. We discuss the threat models of these networks and how DePIN cryptoeconomics can advance participatory sensing. |
| title | DePIN: A Framework for Token-Incentivized Participatory Sensing |
| topic | Computer Science and Game Theory |
| url | https://arxiv.org/abs/2405.16495 |