By Topic

Fault Aware Wireless Sensor Networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Fatima A. Zohra ; Department of Electrical Engineering, College of Engineering and Science, Louisiana Tech University, Ruston, LA 71272, USA, Email: ; Rastko R. Selmic

Wireless Sensor Networks (WSNs) collect information about the physical environment aiding to a wide variety of applications ranging from target detection to monitoring of harmful chemical gases. The drive to scale down the system size and cost has resulted in constraints in the quality of components. Reliable and accurate performance of sensors is necessary in critical applications. In this paper, we present statistical data analysis and signal processing techniques at the sensor node level to detect sensor faults and to eliminate noise. We also present the simulation of the proposed algorithm using real sensor data and demonstrate that the algorithm can distinguish between sensor faults and environmental events. Furthermore, we describe the real-time implementation of the developed algorithm. The information regarding the faulty sensor is broadcast to all nodes and the central processing base station node thereby achieving autonomous node level operation and a complete fault aware system.

Published in:

2007 IEEE International Conference on Networking, Sensing and Control

Date of Conference:

15-17 April 2007