DePIN: A Framework for Token-Incentivized Participatory Sensing

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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Publication Details

Published
2025-06-02
DOI
https://doi.org/10.1109/icbc64466.2025.11185095
Primary Topic
Mobile Crowdsensing and Crowdsourcing
Type
article
Field-Weighted Citation Impact
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article

DePIN: A Framework for Token-Incentivized Participatory Sensing

Sachit Mahajan, Mark C. Ballandies, Uroš Kalabić, Michael Chiu
Mobile Crowdsensing and Crowdsourcing
article

DePIN: A Framework for Token-Incentivized Participatory Sensing

Sachit Mahajan, Mark C. Ballandies, Uroš Kalabić, Michael Chiu
article en

Abstract

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.

Singidunum University (RS), University of Zurich (CH), ETH Zurich (CH), University of Teacher Education Zug (CH)
Openalex Percentile: Top 69%
Mobile Crowdsensing and Crowdsourcing
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