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D i is the mobile embedded device crowd forwarding data.
The system defines the time series as a reference, uses the mobile embedded device to perceive the geographic spatial information, and provides reliable geographic information service for the public and industry users through the mobile communication platform.
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N ES denotes the mobile embedded devices.
P denotes the failure number of the mobile embedded devices in the mobile crowd sensing subnet networks.
(3) The connection and integration of real-time geographic information and services based on mobile embedded devices. .
Through these factors, to select the current mobile embedded devices, the best neighbor node subnet finishes the work.
We proposed the analysis scheme of mechanical hydraulic characteristics based on lightweight crowd data in mobile embedded devices.
Based on mobile embedded devices, mobile communication platform, and mobile applications, the mobile geographic crowd service system was established based on geographic information resources and time series.
Based on the above basis, the analysis scheme of mechanical hydraulic characteristics was proposed based on lightweight crowd data in mobile embedded devices.
Based on the output array of hydraulic characteristics and the transmission power of the mobile embedded node, the analysis scheme of mechanical hydraulic characteristics was proposed based on lightweight crowd data in mobile embedded devices.
In a time domain to a known period, analysis for the power grid management of mobile crowd sensing network coverage quality and work with mobile embedded devices combined with cycle and activity were done.
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