Comparative study for identification of multiple alarms in telecommunication networks
Comparative study for identification of multiple alarms in telecommunication networks
复制标题
电信网络中多种告警识别的比较研究
DOI：
10.3906/elk-1503-118
复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
A. Yilmaz
中科院分区：
文献类型：
--
作者：
A. Yilmaz
电信网络由物理上或通过协议互连的通信单元组成，以便提供数据、语音或图像传输等基本服务。基于一个实际的移动通信网络TASMUS(Taktik Saha MUharebe Sistemi Tistemi Tactical野战系统)，提出了一个拓扑框架下的网络单元及其链路的建模框架。告警处理是通信网络中最关键的功能之一。在模拟单个告警和多个(双)告警场景的基础上，研究了已知的强大的告警估计方法，即编码方法、神经网络和基于知识的系统，以评估它们对实时可能同时发生的多个故障的识别能力。为了评估特定TASMUS网络在不同噪声水平下的告警性能，还对它们进行了比较。
Telecommunication networks consist of communication units interconnected physically or by means of protocols in order to provide basic services like data, voice, or image transfers. In this study, a modeling frame for network units and their links in a topological frame is presented based on a real mobile communication network named TASMUS (TAktik Saha MUharebe Sistemi Tactical Field Combat System). Alarm handling is one of the most critical features required in communication networks. Based on simulated single alarm and multiple (double) alarm scenarios, known powerful alarm estimation approaches, namely the coding method, neural networks, and knowledge-based systems, have been studied to assess their capabilities for identifying multiple faults that might occur simultaneously in real time. They have also been compared in order to evaluate the performance of alarms under different noise levels for specific TASMUS networks.