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A Wavelet-Based Sampling Algorithm for Wireless Sensor Networks Applications

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Academic year: 2018

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Figure 1: Representation of a WSN system, where the ideal ( N → V ∗ → D ∗ ), sensed ( N → V ∗ → V → D) and reduced ( N → V ∗ → V → V ′ → D ′ ) behaviors are shown
Figure 5: Sampling without event presence. The reduction is 1/4 of original data.
Figure 7: Sampling with event presence. The reduction is 1/8 of original data.

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