JOURNAL ARTICLE

<title>Wireless structural monitoring for homeland security applications</title>

Garo K. KiremidjianAnne S. KiremidjianJerome P. Lynch

Year: 2004 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 5395 Pages: 82-90   Publisher: SPIE

Abstract

This paper addresses the development of a robust, low-cost, low power, and high performance autonomous wireless monitoring system for civil assets such as large facilities, new construction, bridges, dams, commercial buildings, etc. The role of the system is to identify the onset, development, location and severity of structural vulnerability and damage. The proposed system represents an enabling infrastructure for addressing structural vulnerabilities specifically associated with homeland security. The system concept is based on dense networks of "intelligent" wireless sensing units. The fundamental properties of a wireless sensing unit include: (a) interfaces to multiple sensors for measuring structural and environmental data (such as acceleration, displacements, pressure, strain, material degradation, temperature, gas agents, biological agents, humidity, corrosion, etc.); (b) processing of sensor data with embedded algorithms for assessing damage and environmental conditions; (c) peer-to-peer wireless communications for information exchange among units(thus enabling joint "intelligent" processing coordination) and storage of data and processed information in servers for information fusion; (d) ultra low power operation; (e) cost-effectiveness and compact size through the use of low-cost small-size off-the-shelf components. An integral component of the overall system concept is a decision support environment for interpretation and dissemination of information to various decision makers.

Keywords:
Computer science Wireless Wireless sensor network Homeland security Server Sensor fusion Telecommunications Computer network

Metrics

9
Cited By
0.00
FWCI (Field Weighted Citation Impact)
0
Refs
0.24
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Structural Health Monitoring Techniques
Physical Sciences →  Engineering →  Civil and Structural Engineering
Seismology and Earthquake Studies
Physical Sciences →  Computer Science →  Artificial Intelligence
Sensor Technology and Measurement Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications

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