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Sensors 2014, 14(11), 20562-20588; doi:10.3390/s141120562

Wireless Sensor Networks for Heritage Object Deformation Detection and Tracking Algorithm

1
Department of Information Science and Engineering, Ningbo University, Ningbo 315021, China
2
School of Information Technology, Deakin University, Melbourne 3125, Australia
3
College of Engineering and Science, Victoria University, Melbourne 3011, Australia
4
Zhejiang Fashion Institute of Technology, P. R. 315021, China
*
Author to whom correspondence should be addressed.
Received: 11 February 2014 / Revised: 10 September 2014 / Accepted: 10 October 2014 / Published: 31 October 2014
(This article belongs to the Special Issue Sensors for Cultural Heritage Diagnostics)
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Abstract

Deformation is the direct cause of heritage object collapse. It is significant to monitor and signal the early warnings of the deformation of heritage objects. However, traditional heritage object monitoring methods only roughly monitor a simple-shaped heritage object as a whole, but cannot monitor complicated heritage objects, which may have a large number of surfaces inside and outside. Wireless sensor networks, comprising many small-sized, low-cost, low-power intelligent sensor nodes, are more useful to detect the deformation of every small part of the heritage objects. Wireless sensor networks need an effective mechanism to reduce both the communication costs and energy consumption in order to monitor the heritage objects in real time. In this paper, we provide an effective heritage object deformation detection and tracking method using wireless sensor networks (EffeHDDT). In EffeHDDT, we discover a connected core set of sensor nodes to reduce the communication cost for transmitting and collecting the data of the sensor networks. Particularly, we propose a heritage object boundary detecting and tracking mechanism. Both theoretical analysis and experimental results demonstrate that our EffeHDDT method outperforms the existing methods in terms of network traffic and the precision of the deformation detection. View Full-Text
Keywords: sensor networks; heritage object monitoring; deformation; detection and tracking sensor networks; heritage object monitoring; deformation; detection and tracking
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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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MDPI and ACS Style

Xie, Z.; Huang, G.; Zarei, R.; He, J.; Zhang, Y.; Ye, H. Wireless Sensor Networks for Heritage Object Deformation Detection and Tracking Algorithm. Sensors 2014, 14, 20562-20588.

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