Comparative study for identification of multiple alarms in telecommunication   networks

ATİLA YILMAZ

Makale detayları

Comparative study for identification of multiple alarms in telecommunication networks

Yazarlar:

ATİLA YILMAZ

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2017 Vol.25 Issue 2, pp.677-688

Belge Tipi:

Makale

Yayın Tarihi:

3/2017

Belge Dili:

Türkçe

Document ID (Org No.):

2000740961

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632

Özet:

 

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.

Makale detayları

Comparative study for identification of multiple alarms in telecommunication networks

Yazarlar: ATİLA YILMAZ

Yayıncı: TUBITAK

Dergi: Turkish Journal of Electrical Engineering and Computer Science 2017 Vol.25 Issue 2, pp.677-688

Belge Tipi: Makale

Yayın Tarihi: 3/2017

Belge Dili: Türkçe

Document ID (Org No.): 2000740961

Sıklık: İki Aylık

eISSN: 1303-6203

pISSN: 1300-0632

Sayı

Yazarlar:

ATİLA YILMAZ

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2017 Vol.25 Issue 2, pp.677-688

Belge Tipi:

Makale

Yayın Tarihi:

3/2017

Belge Dili:

Türkçe

Document ID (Org No.):

2000740961

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632