TY - GEN
T1 - Distributed processing in wireless sensor networks for structural health monitoring
AU - Wang, Miaomiao
AU - Cao, Jiannong
AU - Chen, Bo
AU - Xu, You Lin
AU - Li, Jing
PY - 2007/12/1
Y1 - 2007/12/1
N2 - Wireless Sensor Networks (WSNs) have found many applications in a variety of ubiquitous computing environments. One of the key applications is Structural Health Monitoring (SHM) which seeks to monitor the functionality and detect the possible damages of large civil engineering structures, by measuring the structural responses to ambient or forced excitation. WSNs are a promising new technique for SHM, but the contradicting considerations on the unique characteristics of WSNs and the inherent requirements of SHM pose challenges for practical implementation. Distributed processing in WSNs can help reduce energy consumption, make efficient use of network bandwidth, and improve system response time. In this paper, we analyze the design issues of WSN-based SHM, and propose distributed processing architecture with algorithms. Results of performance the evaluations using both simulation and emulation demonstrate the effectiveness of our proposed approach.
AB - Wireless Sensor Networks (WSNs) have found many applications in a variety of ubiquitous computing environments. One of the key applications is Structural Health Monitoring (SHM) which seeks to monitor the functionality and detect the possible damages of large civil engineering structures, by measuring the structural responses to ambient or forced excitation. WSNs are a promising new technique for SHM, but the contradicting considerations on the unique characteristics of WSNs and the inherent requirements of SHM pose challenges for practical implementation. Distributed processing in WSNs can help reduce energy consumption, make efficient use of network bandwidth, and improve system response time. In this paper, we analyze the design issues of WSN-based SHM, and propose distributed processing architecture with algorithms. Results of performance the evaluations using both simulation and emulation demonstrate the effectiveness of our proposed approach.
KW - Distributed processing
KW - Structural health monitoring
KW - Ubiquitous computing
KW - Wireless sensor network
UR - http://www.scopus.com/inward/record.url?scp=38049034060&partnerID=8YFLogxK
M3 - Conference article published in proceeding or book
SN - 9783540735489
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 103
EP - 112
BT - Ubiquitous Intelligence and Computing - 4th International Conference, UIC 2007, Proceedings
T2 - 4th International Conference on Ubiquitous Intelligence and Computing: Building Smart Worlds in Real and Cyber Spaces, UIC 2007
Y2 - 11 July 2007 through 13 July 2007
ER -