Share Email Print
cover

Proceedings Paper

Reliable information management in a low-cost wireless structural monitoring and control network
Author(s): Yang Wang; Jerome P. Lynch; Kincho H. Law; Chin-Hsiung Loh; Ahmed Elgamal
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Structural health monitoring and control have attracted much research interest in the last few decades. Traditional monitoring and control systems depend on the use of cables to transmit sensor data and actuation signals. With recent advances in wireless communication technology, wireless networks can potentially offer a low-cost alternative to traditional cable-based sensing and control systems. Another advantage of a wireless system is the ease of relocating sensors and controllers, thus providing a flexible and reconfigurable system architecture. However, compared to a cable-based system, wireless communication generally suffers more stringent limitations in terms of communication range, bandwidth, latency, and reliability. This paper describes the architectural design of a prototype wireless structural monitoring and control system. Although design criteria for sensing and control applications are different, state machine concepts prove to be effective in designing simple yet efficient communication protocols for wireless structural sensing and control networks. In wireless structural sensing applications, the design priority is to provide reliable data aggregation, while in wireless structural control applications, the design priority is to guarantee real-time characteristics of the system. The design methodologies have been implemented in a prototype wireless structural monitoring and control system, and validated through a series of laboratory and field experiments.

Paper Details

Date Published: 10 April 2007
PDF: 12 pages
Proc. SPIE 6529, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2007, 65291J (10 April 2007); doi: 10.1117/12.715970
Show Author Affiliations
Yang Wang, Stanford Univ. (United States)
Jerome P. Lynch, Univ. of Michigan (United States)
Kincho H. Law, Stanford Univ. (United States)
Chin-Hsiung Loh, National Taiwan Univ. (Taiwan)
Ahmed Elgamal, Univ. of California at San Diego (United States)


Published in SPIE Proceedings Vol. 6529:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2007
Masayoshi Tomizuka; Chung-Bang Yun; Victor Giurgiutiu, Editor(s)

© SPIE. Terms of Use
Back to Top