UDC 004.72
DEVELOPMENT OF ARCHITECTURE AND SYSTEM OF FUZZY METRICS FOR COMMUNICATION LINKS OF SOFTWARE DEFINED NETWORK OF INTERNET OF THINGS DEVICES
D. A. Perepelkin, Dr. Sci. (Tech.), professor, Dean of the Faculty of Computer Engineering, RSREU, Ryazan, Russia;
orcid.org/0000-0003-4775-5745, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
K. V. Anisimov, student of the Faculty Computer Engineering, RSREU, Russia;
orcid.org/0000-0001-8889-0818, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
In the past few years, manufacturers of various electronic equipment have begun to massively implement Internet connectivity in their products. This applies not only to industrial devices that need access to data from external sensors, but also to household appliances and electronics for small and medium-sized businesses. The ability to control devices or receive data from them remotely has proven to be very convenient for a consumer. Simultaneously, current development of software defined networks (SDN) technology has made it possible to more flexibly manage data flows compared to classical computer networks. The aim of the work is to develop the architecture and the system of fuzzy metrics for communication links of a software-defined network of Internet of things devices. The paper proposes a five-level architecture of a software-defined network of Internet of Things devices and develops its mathematical model. To configure the network, metrics that are obtained using fuzzy inference are proposed.
Key words: Internet of Things, software defined network, OpenFlow, fuzzy logic, fuzzy inference.