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Communication Dans Un Congrès Année : 2024

Game theoretical analysis of strategy changes and influence factors in Crowdsourcing IoT systems

Résumé

Crowdsourcing IoT (Crowd-IoT) can improve IoT applications but still faces challenges due to diverse service quality or IoT nodes’ selfishness. For this, numerous studies introduced Game Theory to model Crowd-IoT. However, participants’ strategy selection and influence factors are rarely discussed. Moreover, game players are often considered fully rational and homogeneous (holding symmetric action sets. In this context, we propose an Evolutionary Game (EG) involving four CrowdIoT participants, namely service provider (i.e., worker), service requestor, manager, and platform, to analyze influence factors to strategy changes through both theoretical analysis and numerical results.
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hal-04564953 , version 1 (01-05-2024)

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  • HAL Id : hal-04564953 , version 1

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Runbo Su, Arbia Riahi Sfar, Pascal Moyal. Game theoretical analysis of strategy changes and influence factors in Crowdsourcing IoT systems. DCOSS-IoT 2024, Apr 2024, Abu Dhabi, United Arab Emirates. ⟨hal-04564953⟩
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