Issue No. 01 - Jan. (2014 vol. 25)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TPDS.2013.30
Gregory Hackmann , Dept. of Comput. Sci. & Eng., Washington Univ. in St. Louis, St. Louis, MO, USA
Weijun Guo , Dept. of Comput. Sci. & Eng., Washington Univ. in St. Louis, St. Louis, MO, USA
Guirong Yan , Dept. of Civil Eng., Univ. of Texas at El Paso, El Paso, TX, USA
Zhuoxiong Sun , Bowen Lab., Purdue Univ., West Lafayette, IN, USA
Chenyang Lu , Dept. of Comput. Sci. & Eng., Washington Univ. in St. Louis, St. Louis, MO, USA
Shirley Dyke , Bowen Lab., Purdue Univ., West Lafayette, IN, USA
Our deteriorating civil infrastructure faces the critical challenge of long-term structural health monitoring for damage detection and localization. In contrast to existing research that often separates the designs of wireless sensor networks and structural engineering algorithms, this paper proposes a cyber-physical codesign approach to structural health monitoring based on wireless sensor networks. Our approach closely integrates 1) flexibility-based damage localization methods that allow a tradeoff between the number of sensors and the resolution of damage localization, and 2) an energy-efficient, multilevel computing architecture specifically designed to leverage the multiresolution feature of the flexibility-based approach. The proposed approach has been implemented on the Intel Imote2 platform. Experiments on a simulated truss structure and a real full-scale truss structure demonstrate the system's efficacy in damage localization and energy efficiency.
Wireless sensor networks, Computer architecture, Sensor systems, Monitoring, Shape, Bridges
G. Hackmann, Weijun Guo, Guirong Yan, Zhuoxiong Sun, Chenyang Lu and S. Dyke, "Cyber-Physical Codesign of Distributed Structural Health Monitoring with Wireless Sensor Networks," in IEEE Transactions on Parallel & Distributed Systems, vol. 25, no. 1, pp. 63-72, 2013.