使用本地投票协议的分散机器人网络中的数据传输

Q3 Physics and Astronomy

Cybernetics and Physics Pub Date : 2021-12-31 DOI:10.35470/2226-4116-2021-10-4-219-223

K. Amelin, Vladislav Ershov

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引用次数: 0

摘要

在一组信息物理系统中构建有效的智能信息传输系统是一个重要的实践和理论问题。这种为一个群体传递信息的系统正在为一个由独立的机器人综合体组成的网络而建立。分散的解决方案越来越多地用于在组成员之间建立有效的交互。通常，在网络中，计算软件模块是去中心化的，节点之间的数据传输系统是中心化的。这种集中化的一个方面是需要直接或通过其他节点中继将数据发送到特定的目的地-在网络中路由数据。在这项工作中，提出了一种在机器人综合体之间的分散网络中不参考路由的数据传输方法。该方法包括节点之间交换整个网络作为一个整体的状态数据。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Data transfer in a decentralized network of robots using a local voting protocol

The construction of an effective intelligent information transmission system in a group of cyber-physical systems is one of the important problems in both practical and theoretical contexts. Such a system for transmitting information for a group is being built for a network consisting of separate robotic complexes. Increasingly, decentralized solutions are used to build effective interaction between group members. As a rule, in networks, decentralization is present in computing software modules, and the data transmission system between nodes is centralized. One of the aspects of such centralization is the need to send data to a specific destination directly or by relaying through other nodes - routing data in the network. In this work, a method of data transmission in a decentralized network between robotic complexes without reference to routing is proposed. The method consists of the exchange of data on the state of the entire network as a whole between the nodes.

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来源期刊

Cybernetics and Physics Chemical Engineering-Fluid Flow and Transfer Processes

CiteScore

1.70

自引率

0.00%

发文量

审稿时长

10 weeks

期刊介绍： The scope of the journal includes: -Nonlinear dynamics and control -Complexity and self-organization -Control of oscillations -Control of chaos and bifurcations -Control in thermodynamics -Control of flows and turbulence -Information Physics -Cyber-physical systems -Modeling and identification of physical systems -Quantum information and control -Analysis and control of complex networks -Synchronization of systems and networks -Control of mechanical and micromechanical systems -Dynamics and control of plasma, beams, lasers, nanostructures -Applications of cybernetic methods in chemistry, biology, other natural sciences The papers in cybernetics with physical flavor as well as the papers in physics with cybernetic flavor are welcome. Cybernetics is assumed to include, in addition to control, such areas as estimation, filtering, optimization, identification, information theory, pattern recognition and other related areas.