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Energy‐efficient deployment strategies in structural health monitoring using wireless sensor networks
Author(s) -
Fu Tat S.,
Ghosh Amitabha,
Johnson Erik A.,
Krishnamachari Bhaskar
Publication year - 2013
Publication title -
structural control and health monitoring
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.587
H-Index - 62
eISSN - 1545-2263
pISSN - 1545-2255
DOI - 10.1002/stc.1510
Subject(s) - software deployment , wireless sensor network , structural health monitoring , energy consumption , data collection , wireless , computer network , computer science , key distribution in wireless sensor networks , real time computing , node (physics) , engineering , energy (signal processing) , grid , distributed computing , wireless network , telecommunications , electrical engineering , geography , statistics , mathematics , structural engineering , geodesy , operating system
SUMMARY Structural health monitoring using wireless sensor networks has drawn considerable attention in recent years. The ease of deployment of tiny wireless devices that are coupled with sensors and actuators enhances the data collection process and makes prognostic and preventive maintenance of an infrastructure much easier. In this paper, the deployment problem is considered for finding node locations to reliably diagnose the health of a structure while consuming minimum energy during data collection. A simple shear structure is considered and modal analysis is performed. The example verifies the expectation that placing nodes further apart from each other reduces the mode shape errors but increases the energy consumption during data collection. A min–max, energy‐balanced routing tree and an optimal grid separation formulation are proposed that minimize the energy consumption as well as provide fine grain measurements. Copyright © 2012 John Wiley & Sons, Ltd.