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- W4200364610 abstract "Big data provides strong support for the Internet of Things (IoTs) and accelerates the arrival of the IoTs era. On the other hand, the advent of the IoTs era will also bring new changes in the mining and analysis of big data. We have noticed the potential of actively collected data in the era of the Internet of Things. It can reduce the uncertainty in the analysis results and enhance the data from the source. Focusing on the challenges of multi-source data, communication and computing bottlenecks, and device heterogeneity, we take crowd surveillance as an example, model it as an optimization problem, use cloud-end synchronization paradigm to balance communication and computing resources, and actively collect data by scheduling heterogeneous devices, so as to find the target faster. The simulation experiments show the superiority of our work." @default.
- W4200364610 created "2021-12-31" @default.
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- W4200364610 date "2021-10-29" @default.
- W4200364610 modified "2023-09-23" @default.
- W4200364610 title "A New Perspective of Big Data in the Era of IoTs: Taking Crowd Surveillance as an Example" @default.
- W4200364610 doi "https://doi.org/10.1109/bigdia53151.2021.9619601" @default.
- W4200364610 hasPublicationYear "2021" @default.
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