Applications of Wireless Sensor Nodes in Structural Health Monitoring: A Review

Author(s):

Varnita Verma; Raj Gaurav Mishra

Published in:

HCTL Open International Journal of Technology Innovations and Research (IJTIR), e-ISSN: 2321-1814

Published on:

29-February-2016

Volume:

Volume 18, Issue 2, February 2016, ISBN:978-1-944170-16-5.

Copyright Information:

© 2016 by the Authors; Licensed by HCTL Open, India.

License Information:

This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License.

Abstract

Structural Health Monitoring (SHM) strategies are used to analyze the structural response and used to effectively detect, locate, and assess damage caused by progressive environmental deterioration and continuous loading effect. Wireless sensing network (WSN) is the rapid development technology frequently used in the design and implementation of SHM system. WSN is a low cost, easy to deploy, fast and reliable technology for SHM. Wireless nodes are deployed on structure for measuring parameters like acceleration and temperature. All wireless nodes are identical to each other and have onboard sensors. These sensor nodes can receive and transmit the data from neighboring nodes which are connected in star, tree or mesh topology. The base station through multiple hop relays will receive data from the entire neighboring node. Different frequency channels and radio output power levels will gauge the performance of nodes. SHM is witnessing intense research efforts in mechanical, aerospace, maritime, as well as civil engineering applications. In this paper, a review of wireless sensor nodes and their applications in structural health monitoring is discussed.


Keywords

Wireless Sensor Networks, Structural Health Monitoring (SHM), Multi-hop Communication, Review.

Cite this Article

Varnita Verma; Raj Gaurav Mishra, Applications of Wireless Sensor Nodes in Structural Health Monitoring: A Review, HCTL Open International Journal of Technology Innovations and Research (IJTIR), Volume 18, Issue 2, February 2016, e-ISSN: 2321-1814, ISBN (Print): 978-1-944170-16-5.

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