基于svd的环境监测分层数据采集

Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication Pub Date : 2013-09-08 DOI:10.1145/2494091.2494095

Y. Kishino, Yasushi Sakurai, Y. Yanagisawa, Takayuki Suyama, F. Naya

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引用次数: 4

摘要

提出了一种新的数据压缩方法，用于分层传感器网络的高效数据采集。该方法利用奇异值分解(SVD)将传感器数据序列压缩为局部模式和权重变量。该方法可以实现环境监测数据的高效采集。

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SVD-based hierarchical data gathering for environmental monitoring

We introduce a new data compression method for efficient data gathering in hierarchical sensor networks. Our proposed method compresses sensor data sequences by decomposing them into local patterns and weight variables using Singular Value Decomposition (SVD). Our proposed method can achieve efficient data gathering for environmental monitoring.

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Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication

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