Structural Health Monitoring Using Wireless Sensor Networks: A Comprehensive Survey
| Autor: | Adam B. Noel, Ahmed Badawy, Mohamed Shehata, Mohamed H. Ahmed, Tarek Elfouly, Abderrazak Abdaoui |
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| Rok vydání: | 2017 |
| Předmět: |
energy harvesting
Computer science sensor placement 02 engineering and technology 01 natural sciences Critical infrastructure damage detection 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering scalability Data processing Data collection structural health monitoring business.industry mobile phone sensing 010401 analytical chemistry 020206 networking & telecommunications Wireless sensor networks 0104 chemical sciences Network planning and design Key distribution in wireless sensor networks Scalability Systems engineering Structural health monitoring business synchronization Wireless sensor network clustering Computer network |
| Zdroj: | IEEE Communications Surveys & Tutorials. 19:1403-1423 |
| ISSN: | 1553-877X |
| DOI: | 10.1109/comst.2017.2691551 |
| Popis: | Structural health monitoring (SHM) using wireless sensor networks (WSNs) has gained research interest due to its ability to reduce the costs associated with the installation and maintenance of SHM systems. SHM systems have been used to monitor critical infrastructure such as bridges, high-rise buildings, and stadiums and has the potential to improve structure lifespan and improve public safety. The high data collection rate of WSNs for SHM pose unique network design challenges. This paper presents a comprehensive survey of SHM using WSNs outlining the algorithms used in damage detection and localization, outlining network design challenges, and future research directions. Solutions to network design problems such as scalability, time synchronization, sensor placement, and data processing are compared and discussed. This survey also provides an overview of testbeds and real-world deployments of WSNs for SH. Manuscript received July 29, 2016; revised January 2, 2017; accepted February 15, 2017. Date of publication April 7, 2017; date of current version August 21, 2017. This work was supported by the Qatar National Research Fund under Grant NPRP 06-150-2-059. (Corresponding author: Adam B. Noel.) A. B. Noel, M. H. Ahmed, and M. S. Shehata are with the Memorial University of Newfoundland, St. John's, NL A1B 3X9, Canada (e-mail: p97abn@mun.ca; mhahmed@mun.ca; mshehata@mun.ca). Scopus |
| Databáze: | OpenAIRE |
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