Abstract
Crowd Sensing (CS) is a kind of crowdsourcing that utilizes the built-in sensors and applications in intelligent devices, and has recently become a promising solution for distributed sensing. Crowd Sensing perception is a new data acquisition mode combining crowdsourcing idea and mobile device perception ability. CS refers to the formation of interactive and participatory perception network through people’s existing mobile devices, and the release of perception tasks to individuals or groups in the network to complete, so as to help professionals or the public to collect data, analyze information and share knowledge. This paper proposes a kind of CS perception system based on blockchain network, which processes the data of CS perception, and protects the privacy and information security of CS perception data. The reputation incentive mechanism is applied to the CS data analysis, which improves the data quality effectively. Experiments show that the mechanism proposed in this paper has an effective effect on improving quality of data.
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Cheng, J., Long, H., Tang, X., Li, J., Chen, M., Xiong, N. (2020). A Reputation Incentive Mechanism of Crowd Sensing System Based on Blockchain. In: Sun, X., Wang, J., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2020. Communications in Computer and Information Science, vol 1253. Springer, Singapore. https://doi.org/10.1007/978-981-15-8086-4_65
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