Building an ontology to systematize the characteristics of the internet of things network
Автор: Isaeva O.S.
Журнал: Онтология проектирования @ontology-of-designing
Рубрика: Прикладные онтологии проектирования
Статья в выпуске: 2 (52) т.14, 2024 года.
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A formalization of the Internet of Things network model designed for monitoring technological premises with telecommunications 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 software. For information interaction, a “publisher-subscriber” scheme and a lightweight protocol with a low load on communication 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 ontology elements. Ontology objects have their own digital representation in databases, including measurement results obtained by Internet of Things network sensors, precedents of anomalous data, and their statistical and frequency characteristics. 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 organization of an information interaction scheme in the Internet of Things network.
Internet of things, publisher, broker, subscriber, ontology, delay analysis, frequency analysis, kano model, network reengineering
Короткий адрес: https://sciup.org/170205619
IDR: 170205619 | DOI: 10.18287/2223-9537-2024-14-2-243-255