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DePIN: A Framework for Token-Incentivized Participatory Sensing

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arxiv 2405.16495 v1 pith:R7OGJRJW submitted 2024-05-26 cs.GT

Michael T. C. Chiu , Sachit Mahajan , Mark C. Ballandies , Uroš V. Kalabić This is my paper
classification cs.GT
keywords dataparticipatorysensingdepinextractednetworksparticipationadvance
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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.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. EconAgentic in DePIN Markets: A Large Language Model Approach to the Sharing Economy of Decentralized Physical Infrastructure

    econ.GN 2025-08 reject novelty 4.0 of 10

    EconAgentic simulates DePIN markets with LLM agents and reports that patient node providers improve inclusion and stability, though this result follows from the model's definitions.

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