Impact analysis of network topology change on transmission distance relay settings

2015 ◽  
Author(s):  
Mohammad Tasdighi ◽  
Mladen Kezunovic
Keyword(s):  
Network Topology ◽  
Impact Analysis ◽  
Distance Relay ◽  
Topology Change ◽  
Transmission Distance

scholarly journals An Algorithm for Transmission Distance Relay Setting Calculation Under Network Topology Change

IJIREEICE ◽  
2016 ◽  
Vol 4 (5) ◽  
pp. 508-513 ◽  
Author(s):  
Oktay Arikan ◽  
Ozgur Gursanli ◽  
Hidayet Aydin ◽  
E Alptekin Yagmur
Keyword(s):  
Network Topology ◽  
Distance Relay ◽  
Topology Change ◽  
Transmission Distance ◽  
Relay Setting Calculation ◽  
Setting Calculation

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>

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

2020 ◽  
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>

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

2020 ◽  
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>

scholarly journals Surface-Codes-Based Quantum Communication Networks

Entropy ◽  
2020 ◽  
Vol 22 (9) ◽  
pp. 1059
Author(s):  
Ivan B. Djordjevic
Keyword(s):  
Communication Networks ◽  
Network Topology ◽  
Quantum Communication ◽  
Software Defined Networking ◽  
Numerical Results ◽  
Transmission Distance ◽  
Syndrome Decoding

In this paper, we propose the surface codes (SCs)-based multipartite quantum communication networks (QCNs). We describe an approach that enables us to simultaneously entangle multiple nodes in an arbitrary network topology based on the SCs. We also describe how to extend the transmission distance between arbitrary two nodes by using the SCs. The numerical results indicate that transmission distance between nodes can be extended to beyond 1000 km by employing simple syndrome decoding. Finally, we describe how to operate the proposed QCN by employing the software-defined networking (SDN) concept.

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