By Topic

Performance analysis of distributed intermittent fault diagnosis in wireless sensor networks using clustering

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
$31 $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)
Banerjee, N. ; Dept. of Comp. Sc. & Eng., Nat. Inst. of Technol., Rourkela, India ; Khilar, P.M.

Wireless sensor network (WSN) has become monitoring solution of variety of applications. As one of the key technologies involved in WSNs, node fault detection is indispensable in most WSN applications. Faults occurring to sensor nodes are common due to the sensor device itself and the harsh environment where the sensor nodes are deployed. The goal of this paper is to locate the faulty sensors in the wireless sensor network. In this paper, a distributed fault diagnosis (DFD) scheme using clustering is proposed which satisfies three important diagnosis properties such as consistency, completeness and accuracy. To evaluate the performance of the proposed algorithm a comparative analysis and implementation is presented in this paper using an existing diagnosis algorithm i.e. distributed fault diagnosis algorithm (DFD).

Published in:

Industrial and Information Systems (ICIIS), 2010 International Conference on

Date of Conference:

July 29 2010-Aug. 1 2010