Please use this identifier to cite or link to this item:
Title: Cluster-based energy-efficient structural health monitoring using wireless sensor networks
Authors: Hu, Q
Liu, X
Wu, Q
Cao, J 
Liu, Y
Tan, Y
Keywords: Clustering
Structural health monitoring
Issue Date: 2012
Source: Proceedings - 2012 International Conference on Computer Science and Service System, CSSS 2012, 2012, 6394805, p. 1951-1956 How to cite?
Abstract: Recent years have witness booming interests of using wireless sensor networks (WSNs) for structural health monitoring (SHM). In a WSN, it has been widely regarded that wireless data transmission is one of the most energy consuming operations. To address the limitations of wireless sensor nodes in terms of power supply, in-network processing has been regarded as an effective way to decrease the energy consumption. However, it should be noted that many SHM algorithms are computationally intensive. If not handled well, it is quite possible that the energy consumed in in-network processing is even larger than that in transmitting the raw data. In this paper, we choose a classic damage detection algorithm and tailor it for WSNs. Moreover, the deployed wireless sensor nodes are divided into clusters to minimize the overall energy consumed during in-network processing and wireless transmissions. The effectiveness of the cluster-based approach is evaluated by simulation and experiment.
Description: 2012 International Conference on Computer Science and Service System, CSSS 2012, Nanjing, 11-13 August 2012
ISBN: 9780769547190
DOI: 10.1109/CSSS.2012.487
Appears in Collections:Conference Paper

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


Last Week
Last month
Citations as of Oct 5, 2018

Page view(s)

Last Week
Last month
Citations as of Oct 14, 2018

Google ScholarTM



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