A localized algorithm for Structural Health Monitoring using wireless sensor networks

Authors:
Igor Leão Dos Santos;Luci Pirmez;írico T. Lemos;Flávia C. Delicato;Luiz A. Vaz Pinto;J. Neuman De Souza;Albert Y. Zomaya
Affiliations:
iNCE Universidade Federal do Rio de Janeiro (UFRJ), CEP 21941-916, Cidade Universitária, Rio de Janeiro, RJ, Brazil;iNCE Universidade Federal do Rio de Janeiro (UFRJ), CEP 21941-916, Cidade Universitária, Rio de Janeiro, RJ, Brazil;iNCE Universidade Federal do Rio de Janeiro (UFRJ), CEP 21941-916, Cidade Universitária, Rio de Janeiro, RJ, Brazil;DCC, Universidade Federal do Rio de Janeiro (UFRJ), CEP 21941-916, Cidade Universitária, Rio de Janeiro, RJ, Brazil;Departamento de Engenharia Naval e Oceínica, Universidade Federal do Rio de Janeiro (UFRJ), CEP 21941-909, Cidade Universitária, Rio de Janeiro, RJ, Brazil;Universidade Federal do Ceará (UFC), CEP 60455-760, Campus do Pici, Fortaleza, CE, Brazil;Advanced Networks Research Group, School of Information Technologies, The University of Sydney, NSW 2006, Australia
Venue:
Information Fusion
Year:
2014

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Abstract

Structural Health Monitoring (SHM) has been proving to be a suitable application domain for wireless sensor networks, whose techniques attempt to autonomously evaluate the integrity of structures, occasionally aiming at detecting and localizing damage. In this paper, we propose a localized algorithm supported by multilevel information fusion techniques to enable detection, localization and extent determination of damage sites using the resource constrained environment of a wireless sensor network. Each node partakes in different network tasks and has a localized view of the whole situation, so collaboration mechanisms and multilevel information fusion techniques are key components of this proposal to efficiently achieve its goal. Experimental results with the MICAz mote platform showed that the algorithm performs well in terms of network resources utilization.