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Method for operating communication network comprising several nodes, particularly of sensor network, involves learning model parameters with learning method and comparing predication error parameter with estimated error parameter
Method for operating communication network comprising several nodes, particularly of sensor network, involves learning model parameters with learning method and comparing predication error parameter with estimated error parameter
The method involves executing predications in preset time steps within a respective measuring cycle. The model parameters are learned with a learning method and a predication error parameter (epsilon(pred)) is compared with estimated error parameter (epsilon(exp)). The length of the measuring cycle is not changed, if the compared value lies within an interval of upper and lower thresholds at the error parameter. The length is reduced, if the value of the error parameter is larger than upper threshold. The length is increased, if the value of the parameter is smaller than the lower threshold. An independent claim is also included for a device for operating a communication network comprising several nodes, particularly of a sensor network.
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