Abstract
Crowd sensing is a perception mode that recruits mobile device users to complete tasks such as data collection and cloud computing. For the cloud computing platform, crowd sensing can not only enable users to collaborate to complete large-scale awareness tasks but also provide users for types, social attributes, and other information for the cloud platform. In order to improve the effectiveness of crowd sensing, many incentive mechanisms have been proposed. Common incentives are monetary reward, entertainment & gamification, social relation, and virtual credit. However, there are rare incentives based on privacy protection basically. In this paper, we proposed a mixed incentive mechanism which combined privacy protection and virtual credit called a blockchain-based location privacy protection incentive mechanism in crowd sensing networks. Its network structure can be divided into three parts which are intelligence crowd sensing networks, confusion mechanism, and blockchain. We conducted the experiments in the campus environment and the results shows that the incentive mechanism proposed in this paper has the efficacious effect in stimulating user participation.
Highlights
Cloud computing has become a hot technology in research and application in the field of information technology, and it has gradually been applied to people’s daily lives, bringing convenience to people
We considered the issue of privacy protection and designed a blockchain-based incentive mechanism
We summarize two algorithms: the Confusion Mechanism Encode Algorithm (CMA-E) and the Confusion Mechanism Decode Algorithm (CMA-D)
Summary
Cloud computing has become a hot technology in research and application in the field of information technology, and it has gradually been applied to people’s daily lives, bringing convenience to people. Zhang et al proposed an incentive mechanism with a moral hazard They adopted the performance-related contract to incentivize users to turn on their sensors and allow data collecting for the principle [13]. Jiajun Sun proposed a behavior-based incentive mechanism for crowd sensing applications with budget constraints by applying sequential all-pay auctions in mobile social networks (MSNs) [14]. These incentives have certain effects, but the authors ignore the most fundamental issue: privacy protection. We used the blockchain protection mechanism to protect the user’s privacy information, giving certain incentives to motivate users to participate in sensing tasks.
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