模糊逻辑
服务质量
计算机科学
互联网
布线(电子设计自动化)
软件
算法
模糊电子学
自适应神经模糊推理系统
理论计算机科学
模糊控制系统
人工智能
计算机网络
程序设计语言
万维网
作者
Dmitry Perepelkin,Kirill Anisimov
标识
DOI:10.1109/smartindustrycon61328.2024.10515317
摘要
The problem of dynamic routing in a software defined networks (SDN) Internet of Things is considered, in which communication links have several quality of service (QoS) parameters. A modified paired transition algorithm based on fuzzy logic for dynamic routing to QoS ensure has been developed. A fuzzy inference system (FIS) to determine the correspondence of a communication link to a certain QoS based on the values of its parameters has been created. The linguistic variables and the base of fuzzy rules of the FIS are described. A visual environment has been developed for the experimental study of algorithms used in SDN based on fuzzy logic. Its main functions and interface are described. An experimental study of the modified paired transition algorithm based on fuzzy logic was carried out. It is shown that changing the QoS parameters of communication links leads to only a slight change in the original tree of optimal routes.
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