The Intellectual IoT-System for Monitoring the Base Station Quality of Service

L. Globa, V. Kurdecha, I. Ishchenko, Andrii Zakharchuk, N. Kunieva
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引用次数: 9

Abstract

The operator needs to process large volumes of data in the Internet of Things systems. There is not enough simple and statistical data analysis methods when operating with a large volume of data. The paper deals with the approach to big data analyses that use of fuzzy logic and fuzzy knowledge base for big data processing. The mathematical methods that allow to obtain efficiently the required solution in conditions of high performance requirements are considered. The discussed mathematical methods were tested for the base station quality of service determination. The proposed approach is efficient for big data processing.
监测基站服务质量的智能物联网系统
运营商需要在物联网系统中处理大量数据。在处理大量数据时,没有足够的简单、统计的数据分析方法。本文探讨了利用模糊逻辑和模糊知识库进行大数据处理的大数据分析方法。考虑了在高性能条件下有效求解所需解的数学方法。对所讨论的确定基站服务质量的数学方法进行了验证。该方法对于大数据处理是有效的。
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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