Title: Cluster-based wireless sensor network for structural health monitoring system

Authors: K.G.M. Pradeep; S. Venkatesan; K. Soundararajan

Addresses: Department of Electronics and Communication Engineering, School of Engineering, Sri Satya Sai University of Technology and Medical Sciences, Sehore Bhopal, 466001, Madhya Pradesh, India ' Department of CSE, Aurora's Technological and Research Institute, Hyderabad, India ' Teegala Krishna Reddy Engineering College, Hyderabad – 500097, Telangana, India

Abstract: The wireless sensor network for structural health analysis system reduces the cost of installation and further maintenance compared to wired sensor system. These sensors are deployed to detect damages in the building and send information to sink node, i.e., base station. The building damages are detected at early stage and further necessary steps are taken to avoid building disaster. These sensors such as accelerometer sensor, strain sensor, corrosion sensor, and optical fibre sensors are deployed around the building infrastructure in huge count. Initially few sensors are in active state and when even any damages detected additional sensors are activated to collect information. A hierarchical cluster mechanism is implemented to gather information from all sensors and consolidate them, and then the final decision is taken and is sent to the base station for necessary actions. This hierarchical clustering plays a vital role in transferring sensory information to the base station in effective manner. The sleepy and wakeup mechanism will improve the sensor life time and effectively utilises the battery backup wireless sensor network. The implementation of health monitoring system using WSN will effectively detect earthquake, building damages due to load, stress or corrosion, etc.

Keywords: health monitoring system; hierarchical clustering; energy aware routing.

DOI: 10.1504/IJUWBCS.2021.119140

International Journal of Ultra Wideband Communications and Systems, 2021 Vol.4 No.3/4, pp.191 - 196

Received: 02 Sep 2020
Accepted: 02 Feb 2021
Published online: 24 Nov 2021 *

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