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Method and apparatus of adaptive sampling for vehicular crowd sensing applications

机译:用于车辆人群感测应用的自适应采样的方法和装置

摘要

A crowd sensing system includes a central entity and remote entities. The remote entities receive queries from the central entity and transmit data to the central entity in response to the query. The sample data obtained from the queried remote entity is analyzed and an average value for the sample data is determined for a current time interval. The central entity determines whether a difference between the average values for the current time interval and a previous time interval is greater than a predetermined threshold. The central entity increases the number of entities in response to the difference being greater than the predetermined threshold, and decreases the respective number of remote entities sampled in response to the difference being less than the predetermined threshold. The central entity queries a number of remote entities in the plurality of regions equal to the adjusted number of samples identified by the central entity.
机译:人群感测系统包括中央实体和远程实体。远程实体从中央实体接收查询,并响应于查询将数据传输到中央实体。分析从查询的远程实体获得的样本数据,并确定当前时间间隔内样本数据的平均值。中央实体确定当前时间间隔和先前时间间隔的平均值之间的差是否大于预定阈值。中央实体响应于差异大于预定阈值而增加实体的数量,并且响应于差异小于预定阈值而减小所采样的远程实体的相应数量。中央实体查询在多个区域中的远程实体的数量等于由中央实体标识的调整后的样本数量。

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