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collect, process, and transport multimedia (MM) data as well are referred to as WMSNs .
The contribution of the present study included the following: (1) developed the wild animal monitoring system based on WMSN to capture experimental materials in Saihan Ula Nature Reserve in Inner Mongolia province; (2) established actual wild animal monitoring image database with the unique characteristics; (3) a novel saliency detection method was introduced in this paper for wild animal images with high resolution, complex background, and nonuniform illumination.
Moreover, multimedia data require a large amount of bandwidth and more energy for data delivery, which causes SNs to deplete their energy quickly and shortens the network lifetime; most of the energy of the WMSN is used for data transmission.
WMSN has vast variety of applications including environmental monitoring, observing industry production, oil exploration, acoustic information processing patient monitoring, monitoring of natural or man-made crises like severe weather, earthquakes, volcanic activities, and battle field monitoring .
The network architecture for WMSN along the green borderline is presented in the figure 7.
1(a), the major activities of WMSN MAC protocol in the MAC layer are:
Still the quest is how to configure cluster and distribute, compress, and forward the image data for LBT-based image compression in WMSN which is the theme of our scheme, described in the following subsections.
But, in WMSN, the coverage method is very different with its traditional sensor network.
The bandwidth of a WMSN is also expected to be as constrained as that of a static sensor network.
A typical scenario of this type of routing could be seen in a WMSN .
Through this effort, the Workload Management System for Nursing (WMSN) was developed to establish a patient classification system that would capture nursing workload based on patient acuity and provide guidelines for effective and efficient allocation and utilization of nursing personnel.
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