A connectivity-based approach for the construction of hierarchical WDM network topology

2008 ◽  
Vol 18 (1) ◽  
pp. 116-121
Author(s):  
I.-Hsuan Peng ◽  
Yen-Wen Chen ◽  
Po-Wei Wu
Keyword(s):  
Network Topology ◽  
Wdm Network

scholarly journals Efficient Placement of Splitters in Optical WDM Network

2021 ◽  
Author(s):  
Abdelhakim Dafeur ◽  
Bernard Cousin ◽  
Rezki Ziani
Keyword(s):  
Linear Programming ◽  
Network Topology ◽  
Exact Formulation ◽  
Placement Problem ◽  
Wdm Network ◽  
Optical Wdm ◽  
Link Cost ◽  
Simulation Results ◽  
Multicast Session ◽  
Splitter Placement

Abstract In this paper, we investigate the splitter placement problem in an optical WDM network. The goal is to select a given number of MC nodes in the network such that the overall link cost of a multicast session is minimized. We present an exact formulation in integer linear programming ( ILP ) to find a set of trees that connects a source to a set of destination nodes. Then, four algorithms based on network topology metrics are proposed to select a given number of MC nodes in the network such that the overall link cost of a multicast session is minimized. The efficiency of the proposed algorithms is verified by simulation results.

Passive mode discovery of network topology

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

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.

Comment on “DIO Suppression Attack Against Routing in the Internet of Things”

2019 ◽  
Author(s):  
Abhishek Verma ◽  
Virender Ranga
Keyword(s):  
Internet Of Things ◽  
Network Topology ◽  
Impact Analysis ◽  
The Internet ◽  
Routing Performance ◽  
Routing Attack ◽  
The Internet Of Things ◽  
Specific Reason

<div>We have thoroughly studied the paper of Perazzo et al., which presents a routing attack named DIO suppression attack with its impact analysis. However, the considered simulation grid of size 20mx20m does not correspond to the results presented in their paper. We believe that the incorrect simulation detail needs to be rectified further for the scientific correctness of the results. In this comment, it is shown that the suppression attack on such small sized network topology does not have any major impact on routing performance, and specific reason is discussed for such behavior.</div>

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