Construction of network topology and geographical vulnerability for telecommunication network

2022 ◽  
pp. 108764
Author(s):  
Meili Liu ◽  
Xiaogang Qi ◽  
Hao Pan
Keyword(s):  
Network Topology ◽  
Telecommunication Network

scholarly journals Determining the capacity of the self-healing network segment

2021 ◽  
Vol 5 (2) ◽  
pp. 114-119
Author(s):  
Nina Kuchuk ◽  
Oleksandr Shefer ◽  
Galina Cherneva ◽  
Frhat Ali Alnaeri
Keyword(s):  
Network Topology ◽  
Information Transfer ◽  
Telecommunication Network ◽  
The Self ◽  
Self Healing ◽  
Message Delivery ◽  
Delivery Time ◽  
Network Resources ◽  
Telecommunications Network ◽  
The Subject

An approach to determining the bandwidth of the self-healing segment of the data network is proposed. The subject of the study are autonomous segments of the telecommunications network, which have the property of self-healing. The object of research is the process of information transfer between nodes of an autonomous segment. The scientific novelty is to improve the method of determining the capacity of the self-healing segment of the telecommunications network with limited network resources by applying the criterion of ensuring the minimum time of information delivery at a given limit of possible probability of loss. The following tasks were solved: a mathematical model of the self-healing segment of the telecommunication network in the form of a queuing system was developed; the proposed method of calculating the degree of channel congestion. Conclusion: the proposed approach made it possible to calculate the bandwidth of the communication channels of the self-healing segment of the telecommunications network and the required amount of buffer memory with a known network topology and a given gravity matrix, providing the required values of failure probability and guarantee minimum message delivery time.

ERRORS OF SOFTWARE IN TELECOMMUNICATION NETWORK HARDWARE-SOFTWARE COMPLEXES

2010 ◽  
Vol 69 (10) ◽  
pp. 881-892
Author(s):  
I. S. Zakharov ◽  
Yu. N. Belikov ◽  
A. N. Zbinyakov ◽  
I. Yu. Lysanov ◽  
R. N. Shulgin
Keyword(s):  
Telecommunication Network

Passive mode discovery of network topology

2014 ◽  
Author(s):  
Lisheng Huang ◽  
Mingyong Yin ◽  
Changchun Li ◽  
Xin Wang
Keyword(s):  
Network Topology ◽  
Passive Mode

Building a Telecommunication Network Based on the SERDES Platforms

2020 ◽  
Vol 26 (2) ◽  
pp. 38-41
Author(s):  
Yu.A. Volkov ◽  
◽  
V.M. Kalmykov ◽  
Keyword(s):  
Telecommunication Network

TRANSITION TO CONVOLUTIONAL NEURAL NETWORKS IN RADAR PROBLEMS

2019 ◽  
pp. 96-99
Author(s):  
K. Maystrenko ◽  
A. Budilov ◽  
D. Afanasev
Keyword(s):  
Neural Networks ◽  
Pattern Recognition ◽  
Target Detection ◽  
Convolutional Neural Networks ◽  
Network Topology ◽  
Subject Areas ◽  
The Subject ◽  
Printed Materials ◽  
Hardware Costs

Goal. Identify trends and prospects for the development of radar in terms of the use of convolutional neural networks for target detection. Materials and methods. Analysis of relevant printed materials related to the subject areas of radar and convolutional neural networks. Results. The transition to convolutional neural networks in the field of radar is considered. A review of papers on the use of convolutional neural networks in pattern recognition problems, in particular, in the radar problem, is carried out. Hardware costs for the implementation of convolutional neural networks are analyzed. Conclusion. The conclusion is made about the need to create a methodology for selecting a network topology depending on the parameters of the radar task.

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