Hypothesis Testing and Decision Theoretic Approach for Fault Detection in Wireless Sensor Networks

Details Hypothesis Testing and Decision Theoretic Approach for Fault Detection in Wireless Sensor Networks Hypothesis Testing and Decision Theoretic Approach for Fault Detection in Wireless Sensor Networks

2012-03-02

arxiv.org/abs/1203.0541v1

Computer Science

Networking and Internet Architecture

Scientific paper

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, we 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. We 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. We propose fault detection schemes that take into account error probabilities into the optimal event detection process. We develop the schemes under the consideration of Neyman-Pearson test and Bayes test.

Affiliated with

Also associated with

No associations

Rating

Hypothesis Testing and Decision Theoretic Approach for Fault Detection in Wireless Sensor Networks does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Hypothesis Testing and Decision Theoretic Approach for Fault Detection in Wireless Sensor Networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Hypothesis Testing and Decision Theoretic Approach for Fault Detection in Wireless Sensor Networks will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-167233