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Compressive sensing for power efficient data aggregation in a wireless sensor network

机译:压缩传感,用于无线传感器网络中的节能数据聚合

摘要

Techniques are provided for compressive sensing (CS) in a sensor network, for improved power efficiency. A methodology implementing the techniques according to an embodiment includes determining a state of a sensor network, based on a calculated statistic of sampled data values generated by one or more sensors in the network, and on anomaly indications generated by the one or more sensors. The method further includes calculating a CS sampling schedule based on the determined state and further based on a sparse signal recovery algorithm. The method further includes broadcasting the CS schedule to the one or more sensors. The CS schedule includes a sensor identification, sampling frequency, and sampling time offset for each sensor to be sampled. The method further includes updating the state of the sensor network and the CS schedule, based on updated data values generated by the one or more sensors in accordance with the sampling schedule.
机译:提供了用于传感器网络中的压缩感测(CS)的技术,以提高功率效率。实现根据一个实施例的技术的方法包括基于由网络中一个或多个传感器生成的采样数据值的计算统计以及由一个或多个传感器生成的异常指示来确定传感器网络的状态。该方法还包括基于所确定的状态并且还基于稀疏信号恢复算法来计算CS采样时间表。该方法还包括将CS调度表广播到一个或多个传感器。 CS计划包括传感器标识,采样频率和每个要采样的传感器的采样时间偏移。该方法还包括基于由一个或多个传感器根据采样时间表生成的更新的数据值来更新传感器网络的状态和CS时间表。

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