期刊
ACM TRANSACTIONS ON SENSOR NETWORKS
卷 12, 期 2, 页码 -出版社
ASSOC COMPUTING MACHINERY
DOI: 10.1145/2888398
关键词
Participatory Sensing; Incentive; QoI; game theory; auction theory; research challenges; survey
资金
- National Science Foundation [IIS-1404673, CNS-1404677, IIP-1540119, CNS-1545050]
- Direct For Computer & Info Scie & Enginr
- Division Of Computer and Network Systems [1545050] Funding Source: National Science Foundation
- Direct For Computer & Info Scie & Enginr
- Div Of Information & Intelligent Systems [1404673] Funding Source: National Science Foundation
- Division Of Computer and Network Systems
- Direct For Computer & Info Scie & Enginr [1404677] Funding Source: National Science Foundation
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.
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