Abstract
Customized Industrial Internet of Things (IoT) presents the needs of strong pertinence, energy saving, and simplified design. However, the services of process-oriented and chainoriented were not fully considered and addressed in traditional schemes. First, a spatial probabilistic model is established that can be used to enhance the location services of devices. Second, we construct a spatio-temporal relationship graph of different devices and describe the rules for generating association index among devices. Third, we create virtual groups with computing expressions for the problem solving. Through systematically evaluating the multiple indicators of different candidates for network generation, we demonstrate the superiority and stability of the smart collaborative evolvement.
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