Development of a Model Network and an Analysis of Network Traffic for Controlling Robot Manipulators
https://doi.org/10.31854/1813-324X-2023-9-3-75-81
Abstract
The issue of controlling robotic manipulators remotely via a communication network is covered in the article. The built model network's structure is shown, and its key elements are detailed. It was designed to intercept and analyze network traffic generated during remote control of robotic manipulators. The main traits of the network traffic that was intercepted for four different applications of using a robot manipulator in the fundamental interaction scenario are presented. These traits also take into account the use of the author proposed improved network algorithm for controlling robot manipulators or their clusters. The self-similarity coefficient of the received network traffic was estimated.
Keywords
industrial Internet of Things,
model network,
robot manipulator,
network traffic interception and analysis,
network traffic characteristics,
self-similarity coefficient
Supporting agencies: The studies at St. Petersburg State University of Telecommunications prof. M.A. Bonch-Bruevich were supported by the Ministry of Science and High Education of the Russian Federation by the grant 075-15-2022-1137
About the Author
L. Gorbacheva
The Bonch-Bruevich Saint-Petersburg State University of Telecommunications
Russian Federation
Russian Federation
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Review
For citations:
Gorbacheva L. Development of a Model Network and an Analysis of Network Traffic for Controlling Robot Manipulators. Proceedings of Telecommunication Universities. 2023;9(3):75-81. (In Russ.) https://doi.org/10.31854/1813-324X-2023-9-3-75-81
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