异构5G移动系统中的无线传感器网络连接

S. Piltyay, A. Bulashenko, I. Demchenko
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引用次数: 37

摘要

本文对异构5G移动系统中无线传感器网络的连通性进行了分析。无线传感器网络是现代异构5G移动系统和物联网网络的重要组成部分。本文研究了无线传感器网络的结构、组织原理及其连通性。移动节点网络的特点是无线信号传播条件的改变,导致网络结构的随机性。具有移动节点的网络的连通性是其最重要的特征,也是网络功能的必要条件。本文分析了连通性对网络参数的依赖关系。结果表明,网络连通性是由任何网络节点的路由概率决定的。此外,连通性是衡量任何传感器节点与数据处理和存储中心之间关系的指标。本文提出了三种用于无线传感器网络聚类分析的算法。其中包括k-均值聚类算法、外源模糊c -均值算法。分析了网络连通性的质量参数。讨论了网络连通性的主要指标,包括可用性指标、时间指标和可靠性指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wireless Sensor Network Connectivity in Heterogeneous 5G Mobile Systems
In this paper we perform the analysis of connectivity of wireless sensor network in heterogeneous 5G mobile systems. Wireless sensor networks are an important part of modern heterogeneous 5G mobile systems and IoT networks. The architecture, principles of organization of wireless sensor networks and their connectivity are investigated in the paper. The peculiarity of networks with mobile nodes is the alteration of conditions of radio signals propagation, which leads to random structures of such networks. Connectivity in networks with mobile nodes is their paramount characteristic and it is necessary for the functioning of the network. The analysis of the dependence of connectivity on the network parameters has been carried out in the paper. It is shown that connectivity is determined by the probability of a route for any network node. In addition, connectivity is a measure of the relationship between any sensor node and the data processing and storage center. Three algorithms for cluster analysis of the wireless sensor networks have been suggested in the research. They include algorithm of clustering of k-means, algorithm of the Foreign element fuzzy C-means algorithm. The quality parameters of the network connectivity have been analyzed. The main indicators of network connectivity, which include availability indicators, time indicators and reliability indicators, are discussed.
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