GDP in Value as a Measure for Evaluating Annual Data Flow Increase on IoT

Abstract

The article deals with the problem of assessing the primary data load on the IOT, generated by the year. GDP in the money presentation has been used to estimate the amount of information that enters the network directly from things. Having advanced the postulate that the amount of data emanating from a thing is proportional to the product of its mass (thing) by its specific orderliness, it is concluded that it is possible to use a volume of the generated order principle. Dual model allowing to estimate objective thing’s prices, has been proposed.