Hypothesis Testing and Decision Theoretic Approach for Fault Detection in Wireless Sensor Networks
Sensor networks aim at monitoring their surroundings for event detection and object tracking. But due to failure or death of sensors, false signal can be transmitted. In this paper, the authors consider the problem of fault detection in Wireless Sensor Network (WSN), in particular, addressing both the noise-related measurement error and sensor fault simultaneously in fault detection. They assume that the sensors are placed at the center of a square (or hexagonal) cell in Region Of Interest (ROI) and, if the event occurs, it occurs at a particular cell of the ROI. They propose fault detection schemes that take into account error probabilities into the optimal event detection process. They develop the schemes under the consideration of Neyman-Pearson test and Bayes test.