Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/11703
Title: Energy-efficient and fault-tolerant structural health monitoring in wireless sensor networks
Authors: Bhuiyan, MZA
Cao, J 
Wang, G
Liu, X
Keywords: Energy-efficiency
Fault detection
Fault tolerance
Structural health monitoring
Wireless sensor networks
Issue Date: 2012
Source: Proceedings of the IEEE Symposium on Reliable Distributed Systems, 2012, 6424870, p. 301-310 How to cite?
Abstract: Wireless sensor networks (WSNs) have become an increasingly compelling platform for structural health monitoring (SHM) due to relatively low-cost, easy installation, etc. However, the challenge of effectively monitoring structural health condition (e.g., damage) under WSN constraints (e.g., limited energy, narrow bandwidth) and sensor faults has not been studied before. In this paper, we focus on tolerating sensor faults in WSN-based SHM. We design a distributed WSN framework for SHM and then examine its ability to cope with sensor faults. We bring attention to an undiscovered yet interesting fact, i.e., the real measured signals introduced by faulty sensors may cause an undamaged location to be identified as damaged (false positive) or a damaged location as undamaged (false negative) diagnosis. This can be caused by faults in sensor bonding, precision degradation, amplification gain, bias, drift, noise, and so forth. We present a distributed algorithm to detect such types of faults, and offer an online signal reconstruction algorithm to recover from the wrong diagnosis. Through simulations and a WSN prototype system, we evaluate the effectiveness of our proposed algorithms.
Description: 31st IEEE International Symposium on Reliable Distributed Systems, SRDS 2012, Irvine, CA, 8-11 October 2012
URI: http://hdl.handle.net/10397/11703
ISSN: 1060-9857
DOI: 10.1109/SRDS.2012.26
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

13
Last Week
1
Last month
0
Citations as of Oct 23, 2017

WEB OF SCIENCETM
Citations

8
Last Week
0
Last month
0
Citations as of Oct 24, 2017

Page view(s)

35
Last Week
1
Last month
Checked on Oct 22, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.