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Cyber-Physical Systems (CPS) bridge the virtual cyber world with the real physical world. For representing a physical environment in cyber, CPS devices/nodes are assigned to collect data in a region of interest. In practice, the nodes seldom fully cover the region due to the restriction of quantity and cost. Hence, the sampled data are usually inadequate to describe the holistic environment. Recent researches mainly focus on the interpolation methods to generate an approximating model from the raw data. However, in this paper, the authors propose to study the spatio-temporal distribution of CPS nodes in order to obtain the crucial data for optimal environment abstraction.
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