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Geographical Area Network—Structural Health Monitoring Utility Computing Model

Department of Electrical Engineering, College of Engineering, Qatar University, Doha 2713, Qatar
Department of Information Engineering, Brescia University, 25121 Brescia, Italy
Canadian University Dubai, Dubai, UAE
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2019, 8(3), 154;
Received: 22 November 2018 / Revised: 11 March 2019 / Accepted: 15 March 2019 / Published: 21 March 2019
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In view of intensified disasters and fatalities caused by natural phenomena and geographical expansion, there is a pressing need for a more effective environment logging for a better management and urban planning. This paper proposes a novel utility computing model (UCM) for structural health monitoring (SHM) that would enable dynamic planning of monitoring systems in an efficient and cost-effective manner in form of a SHM geo-informatics system. The proposed UCM consists of networked SHM systems that send geometrical SHM variables to SHM-UCM gateways. Every gateway is routing the data to SHM-UCM servers running a geo-spatial patch health assessment and prediction algorithm. The inputs of the prediction algorithm are geometrical variables, environmental variables, and payloads. The proposed SHM-UCM is unique in terms of its capability to manage heterogeneous SHM resources. This has been tested in a case study on Qatar University (QU) in Doha Qatar, where it looked at where SHM nodes are distributed along with occupancy density in each building. This information was taken from QU routers and zone calculation models and were then compared to ideal SHM system data. Results show the effectiveness of the proposed model in logging and dynamically planning SHM. View Full-Text
Keywords: Geographical Area Network (GAN); Structural Health Monitoring (SHM); Utility Computing (UC); Things as a Service (TaaS); Internet of Things (IoT) Geographical Area Network (GAN); Structural Health Monitoring (SHM); Utility Computing (UC); Things as a Service (TaaS); Internet of Things (IoT)

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Tariq, H.; Tahir, A.; Touati, F.; Al-Hitmi, M.A.E.; Crescini, D.; Ben Manouer, A. Geographical Area Network—Structural Health Monitoring Utility Computing Model. ISPRS Int. J. Geo-Inf. 2019, 8, 154.

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