A Trust Framework for Social Participatory Sensing Systems

The integration of participatory sensing with online social networks affords an effective means to generate a critical mass of participants, which is essential for the success of this new and exciting paradigm. An equally important issue is ascertaining the quality of the contributions made by the participants. In this paper, we propose an application-agnostic trust framework for social participatory sensing. Our framework not only considers an objective estimate of the quality of the raw readings contributed but also incorporates a measure of trust of the user within the social network. We adopt a fuzzy logic based approach to combine the associated metrics to arrive at a final trust score. Extensive simulations demonstrate the efficacy of our framework.

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