具有自适应拓扑的各类网络的自调节图

IF 0.6 Q4 AUTOMATION & CONTROL SYSTEMS

AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2025-03-14 DOI:10.3103/S0146411624701244

E. Yu. Pavlenko, M. A. Pakhomov

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引用次数: 0

摘要

提出了基于图论的自适应网络拓扑网络自调节方法。这些方法仅限于节点不改变其空间位置的网络：点对点和异构传感器网络，以及工业网络，如智能电网。对于每一类网络，描述了一个广义目标函数，给出了自我调节的条件，形式化描述了自我调节的过程。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Graph of Self-Regulation of Various Types of Networks with Adaptive Topology

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Graph of Self-Regulation of Various Types of Networks with Adaptive Topology

Approaches used for the self-regulation of networks with adaptive network topology based on graph theory are presented. These approaches are limited to networks whose nodes do not change their position in space: peer-to-peer and heterogeneous sensor networks, as well as industrial networks, such as Smart Grid. For each type of network, a generalized target function is described, conditions for self-regulation are formulated, and the process of self-regulation is formally described.

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来源期刊

AUTOMATIC CONTROL AND COMPUTER SCIENCES AUTOMATION & CONTROL SYSTEMS-

CiteScore

1.70

自引率

22.20%

发文量

期刊介绍： Automatic Control and Computer Sciences is a peer reviewed journal that publishes articles on• Control systems, cyber-physical system, real-time systems, robotics, smart sensors, embedded intelligence • Network information technologies, information security, statistical methods of data processing, distributed artificial intelligence, complex systems modeling, knowledge representation, processing and management • Signal and image processing, machine learning, machine perception, computer vision