A wireless sensor network For structural monitoring
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
The flooding time synchronization protocol
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Health monitoring of civil infrastructures using wireless sensor networks
Proceedings of the 6th international conference on Information processing in sensor networks
Brimon: a sensor network system for railway bridge monitoring
Proceedings of the 6th international conference on Mobile systems, applications, and services
A Holistic Approach to Decentralized Structural Damage Localization Using Wireless Sensor Networks
RTSS '08 Proceedings of the 2008 Real-Time Systems Symposium
Monitoring heritage buildings with wireless sensor networks: The Torre Aquila deployment
IPSN '09 Proceedings of the 2009 International Conference on Information Processing in Sensor Networks
Networked computing in wireless sensor networks for structural health monitoring
IEEE/ACM Transactions on Networking (TON)
Science of Computer Programming
Realistic case studies of wireless structural control
Proceedings of the ACM/IEEE 4th International Conference on Cyber-Physical Systems
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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 co-design 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, multi-level computing architecture specifically designed to leverage the multi-resolution feature of the flexibility-based approach. The proposed approach has been implemented on the Intel Imote2 platform. Experiments on a physical beam and simulations of a truss structure demonstrate the system's efficacy in damage localization and energy efficiency.