manet类移动无线网络控制系统数据流控制子系统模型

Yuliia Kramska, Serhii Salnyk, S. Vasylenko, O. Mavrina
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摘要

本文提出了一个MANET类移动无线电控制系统的数据流控制子系统模型,以评估该模型的有效性,该模型将基于所开发的方法和技术(相应的单元)进行构建。该模型的实质是基于目标函数,应用适当的DFCS控制方法,使各子系统单元之间的运行及其相互作用与其他功能子系统之间相互作用。只有存在一个能够在不确定条件下做出控制决策的节点控制系统,才能确保在频繁变化的情况下(作战、战术、通信等)对移动无线电网络进行有效控制。此外,提供移动无线网络的自组织能力,以及使其节点适应不同的操作条件,需要有一个训练子系统作为节点控制系统的一部分。只有存在一个能够在不确定条件下做出控制决策的节点控制系统,才能确保在频繁变化的情况下(作战、战术、通信等)对移动无线电网络进行有效控制。此外,提供移动无线网络的自组织能力,以及使其节点适应不同的操作条件,需要有一个训练子系统作为节点控制系统的一部分。针对MANET类无线网络的功能特点,提出在节点控制系统的构建中,采用知识处理技术实现控制过程的智能化。在模糊逻辑和神经网络相结合的基础上,考虑了违反概率,根据节点的状态参数,选择网络状态违反所需的值。与现有计算机或固定网络中不需要资源密集型结构的模型不同,在该模型中,提出根据移动无线网络的使用要求和特点来发展DFCS的结构。该模型的应用将简化和改进数据流控制子系统的构造结构;处理不完整、不准确、不可预测、物理内容不同的数据;减少做出控制决策的时间。今后的研究方向是开发移动无线网络控制系统中数据流控制子系统各要素的连接方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Model of data flow control subsystem of the manet class mobile radio network control system
The article proposes a model of the data flow control subsystem of MANET class mobile radio control system to evaluate the effectiveness of the model, which will be built based on the developed methods and techniques (corresponding units). The essence of the model is to apply appropriate methods of DFCS control, which interact with each other and other functional subsystems within the operation of the subsystem units and their interaction, based on the target function. To ensure effective control of a mobile radio network in conditions of frequent changes of the situation (operational, tactical, communication, etc.) is possible only if there is a nodal control system capable of making control decisions in conditions of uncertainty. In addition, provision of the ability of mobile radio networks to self-organization, as well as adaptation of its nodes to different operating conditions requires the presence of a training subsystem as part of the node control system. To ensure effective control of a mobile radio network in conditions of frequent changes of the situation (operational, tactical, communication, etc.) is possible only if there is a nodal control system capable of making control decisions in conditions of uncertainty. In addition, provision of the ability of mobile radio networks to self-organization, as well as adaptation of its nodes to different operating conditions requires the presence of a training subsystem as part of the node control system. Considering the peculiarities of the functioning of MANET class radio networks, the article proposes to intellectualize the control processes by using knowledge processing technologies in the construction of a node control system. Based on the integrated use of fuzzy logic and neural networks, the probabilities of violations are considered, which, depending on the parameters of the state of the nodes, allow selecting the required value of the violation of the state of the network. Unlike existing models that are used in computer or fixed networks that do not require resource-intensive structure, in this model it is proposed to develop the structure of the DFCS to the requirements and features of usage in the mobile radio network. The application of the model will allow: to simplify and improve the structure of the construction of the data flow control subsystem; to process incomplete, inaccurate, unpredictable, different in its physical content data; to reduce the time of making a control decision. The further directions of research will be the development of the method of connectivity of the elements of the data flow control subsystem of the mobile radio network control system.
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