Incentive Mechanisms for Participatory Sensing: Survey and Research Challenges
Francesco Restuccia, Sajal K. Das, Jamie Payton

TL;DR
This paper surveys incentive mechanisms for participatory sensing, categorizing existing approaches, comparing their effectiveness, and highlighting open research challenges to motivate user participation.
Contribution
It provides a comprehensive taxonomy of incentive mechanisms and discusses research challenges, offering a structured overview of the field.
Findings
Taxonomy of incentive mechanisms for participatory sensing
Comparison of different incentive approaches
Identification of open research challenges
Abstract
Participatory sensing is a powerful paradigm which takes advantage of smartphones to collect and analyze data beyond the scale of what was previously possible. Given that participatory sensing systems rely completely on the users' willingness to submit up-to-date and accurate information, it is paramount to effectively incentivize users' active and reliable participation. In this paper, we survey existing literature on incentive mechanisms for participatory sensing systems. In particular, we present a taxonomy of existing incentive mechanisms for participatory sensing systems, which are subsequently discussed in depth by comparing and contrasting different approaches. Finally, we discuss an agenda of open research challenges in incentivizing users in participatory sensing.
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Taxonomy
TopicsMobile Crowdsensing and Crowdsourcing · Innovative Human-Technology Interaction · Green IT and Sustainability
