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.
Highlights
A culture heritage site is often an invaluable historical legacy
Different from the stone ruins in Europe, many of the heritage sites in Asia (e.g., China) are often damaged due in some part to natural-deformation-caused collapse, since they are built using clay and have complicated structures that are composed of a large number of surfaces inside and outside or that are arranged in a very long, zigzag way; typical examples include the ancient Great Wall, the Xi’an imperial city wall ruins of the Sui and Tang Dynasties, the Terracotta Army, the Yang Mausoleum of the Han Dynasty and the Dunhuang
The sink determines the entire boundary of the heritage site by compiling the integrated boundary information received from all of the domain heads in the network
Summary
A culture heritage site is often an invaluable historical legacy. Different from the stone ruins in Europe, many of the heritage sites in Asia (e.g., China) are often damaged due in some part to natural-deformation-caused collapse, since they are built using clay and have complicated structures that are composed of a large number of surfaces inside and outside or that are arranged in a very long, zigzag way; typical examples include the ancient Great Wall, the Xi’an imperial city wall ruins of the Sui and Tang Dynasties, the Terracotta Army, the Yang Mausoleum of the Han Dynasty and the Dunhuang. The advantage of EffeHDDT is that the whole network was divided into domains, and the sensors in the domain are all neighbors, which improves the accuracy of the boundary detection; the connected core reduces the traffic cost for sending the control message to the sink. Another advantage is that the EffeHDDT method enables each sensor node to detect and track the static or moving boundaries of heritage objects in the sensing field, taking advantage of finding boundary sensors (FBS).
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