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.
Original language | English |
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Title of host publication | Proceedings - 2012 International Conference on Computer Science and Service System, CSSS 2012 |
Pages | 1951-1956 |
Number of pages | 6 |
DOIs | |
Publication status | Published - 1 Dec 2012 |
Event | 2012 International Conference on Computer Science and Service System, CSSS 2012 - Nanjing, China Duration: 11 Aug 2012 → 13 Aug 2012 |
Conference
Conference | 2012 International Conference on Computer Science and Service System, CSSS 2012 |
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Country/Territory | China |
City | Nanjing |
Period | 11/08/12 → 13/08/12 |
Keywords
- Clustering
- Structural health monitoring
- WSNs
ASJC Scopus subject areas
- Computer Science (miscellaneous)