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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Qionglei Hu Xuefeng Liu Qingbo Wu Jiannong Cao Yang Liu Yusong Tan |
| Copyright Year | 2012 |
| 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. |
| Starting Page | 1951 |
| Ending Page | 1956 |
| File Size | 452922 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467307215 |
| e-ISBN | 9780769547190 |
| DOI | 10.1109/CSSS.2012.487 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-08-11 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wireless communication Wireless sensor networks Energy consumption WSNs Structural health monitoring Clustering Biological cells Monitoring Principal component analysis Genetic algorithms |
| Content Type | Text |
| Resource Type | Article |
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