Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/30234
Title: Distributed processing in wireless sensor networks for structural health monitoring
Authors: Wang, M
Cao, J 
Chen, B
Xu, Y 
Li, J
Keywords: Distributed processing
Structural health monitoring
Ubiquitous computing
Wireless sensor network
Issue Date: 2007
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2007, v. 4611 LNCS, p. 103-112 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
Abstract: Wireless Sensor Networks (WSNs) have found many applications in a variety of ubiquitous computing environments. One of the key applications is Structural Health Monitoring (SHM) which seeks to monitor the functionality and detect the possible damages of large civil engineering structures, by measuring the structural responses to ambient or forced excitation. WSNs are a promising new technique for SHM, but the contradicting considerations on the unique characteristics of WSNs and the inherent requirements of SHM pose challenges for practical implementation. Distributed processing in WSNs can help reduce energy consumption, make efficient use of network bandwidth, and improve system response time. In this paper, we analyze the design issues of WSN-based SHM, and propose distributed processing architecture with algorithms. Results of performance the evaluations using both simulation and emulation demonstrate the effectiveness of our proposed approach.
Description: 4th International Conference on Ubiquitous Intelligence and Computing: Building Smart Worlds in Real and Cyber Spaces, UIC 2007, Hong Kong, 11-13 July 2007
URI: http://hdl.handle.net/10397/30234
ISBN: 9783540735489
ISSN: 0302-9743
EISSN: 1611-3349
Appears in Collections:Conference Paper

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

SCOPUSTM   
Citations

8
Citations as of Sep 16, 2017

Page view(s)

56
Last Week
1
Last month
Checked on Sep 17, 2017

Google ScholarTM

Check



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