Figure 4
From: A neural data-driven algorithm for smart sampling in wireless sensor networks
Application of the algorithm to meteorological experiments (see Section 2.2.2). Accuracy is assumed to be 0.2°C, 20 hPa, 0.1 km/h, and 1%, for the temperature, pressure, wind velocity, and humidity sensors, respectively. (A) Root mean square estimation error and reduction ratio as functions of the uncertainty threshold (20 repetitions are considered). (B) Example of application to a portion of the test set.