Journal ArticleDOI
Incentive Mechanisms for Participatory Sensing: Survey and Research Challenges
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TLDR
In this article, a taxonomy of existing incentive mechanisms for participatory sensing systems, which are subsequently discussed in depth by comparing and contrasting different approaches, is presented, and an agenda of open research challenges in incentivizing users in participatory learning is discussed.Abstract:
Participatory sensing is a powerful paradigm that 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 article, 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.read more
Citations
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A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and Opportunities
Andrea Capponi,Claudio Fiandrino,Burak Kantarci,Luca Foschini,Dzmitry Kliazovich,Pascal Bouvry +5 more
TL;DR: A survey on existing works in the MCS domain is presented and a detailed taxonomy is proposed to shed light on the current landscape and classify applications, methodologies, and architectures to outline potential future research directions and synergies with other research areas.
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Securing the Internet of Things in the Age of Machine Learning and Software-Defined Networking
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Quality of Information in Mobile Crowdsensing: Survey and Research Challenges
TL;DR: In this paper, the authors provide a new framework for defining and enforcing the Quality of Information (QoI) in mobile crowdsensing and analyze in depth the current state of the art on the topic.
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The Internet of People (IoP): A new wave in pervasive mobile computing
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TL;DR: This paper proposes to pay the participants as how well they do, to motivate the rational participants to efficiently perform crowdsensing tasks, and proposes a mechanism that estimates the quality of sensing data, and offers each participant a reward based on her effective contribution.
References
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Prospect theory: analysis of decision under risk
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