Abstract

A formalization of the Internet of Things network model designed for monitoring technological premises with tele-communications equipment at the Federal Research Center "Krasnoyarsk Scientific Center SB RAS" is presented. The network includes measuring devices, a telecommunications environment, data collection servers, and application soft-ware. For information interaction, a “publisher-subscriber” scheme and a lightweight protocol with a low load on com-munication channels are used. An ontology has been created that describes the network architecture and the properties of devices that collect, transmit, store, and process data. The ontology contains classes representing the concepts of the subject area, relationships, data properties, ranges of their changes, and critical values that limit the attributes of ontol-ogy elements. Ontology objects have their own digital representation in databases, including measurement results ob-tained by Internet of Things network sensors, precedents of anomalous data, and their statistical and frequency char-acteristics. This formalization made it possible to identify implicit dependencies between objects, connect them with the characteristics of processes observed by Internet of Things network devices, and solve practical tasks. The problem of selecting characteristics that influence changes in information interaction patterns is considered. A survey of experts was carried out, and a Kano model was built to prioritize the characteristics that influence decision-making on the or-ganization of an information interaction scheme in the Internet of Things network.

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