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Therefore, the selection of the sensor network flow model must be consistent with its application scenarios.
In their later work[10], Karjee and Jamadagni further studied the selection of the sensor nodes for accurate estimation.
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The selection of the sensors of V D also takes into account their geographical position in order to minimize the distance between the tested and testing sensors.
While one part of this paper focuses on the selection of the sensors, the other highlights one important challenge related to fact-based design, i.e. the influence of information quality on the design decisions.
Theoretical and computational issues arising in the selection of the optimal sensor configuration for parameter estimation in structural dynamics are addressed.
The selection of the optimal sensors to use in an electronic nose is fundamental to the success or failure of any particular olfactory system in a certain application.
Normally, sensory data includes high level of noise and irrelevant or redundant information which makes the selection of the most sensitive sensor and signal processing method a difficult task.
The selection of the best plasticizer can improve the sensor potentiometric answer in terms of sensitivity and sometimes also of selectivity.
These rules make it possible to incorporate the selection of the most appropriate configuration of sensor group with the basis of precision.
A design choice for the presented VSN system is the selection of the Internet as the physical bearer between sensor platforms and the applications.
Zhao et al. [19] propose IDSQ (Information Driven Sensor Querying), in which the selection of the best node is based on a Mahalanobis distance that leads to a heuristic method favoring the sensors whose Euclidean distance to the target is small.
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