scholarly journals Analysis of the Influence of Transmission Resources Control in Tree Structure Networks

2018 ◽  
Vol 23 (1) ◽  
pp. 11-19
Author(s):  
Sławomir Bujnowski ◽  
Tomasz Marciniak ◽  
Beata Marciniak ◽  
Zbigniew Lutowski ◽  
Adam Marchewka
Keyword(s):  
Telecommunication Networks ◽  
Tree Topology ◽  
Tree Structure ◽  
Minimum Length ◽  
Transmission Properties

Abstract The aim of the paper is to draw attention to the possibility of improving the transmission properties of telecommunication networks by subordinating the capacity of individual links to the frequency of their occurrence in a set of minimum length paths. The defined unevenness coefficient was used to divide the global transmission resources of the network in order to make the traffic carried by this network as large as possible. The article presents the results of the simulation tests to which tree topology network was subjected.

scholarly journals Evaluation of Transmission Properties of Networks Described with Reference Graphs Using Unevenness Coefficients

Electronics ◽  
2021 ◽  
Vol 10 (14) ◽  
pp. 1684
Author(s):  
Sławomir Bujnowski ◽  
Beata Marciniak ◽  
Zbigniew Lutowski ◽  
Adam Flizikowski ◽  
Olutayo Oyeyemi Oyerinde
Keyword(s):  
Network Topology ◽  
Special Form ◽  
Evaluation Method ◽  
Shortest Paths ◽  
Minimum Length ◽  
Regular Graphs ◽  
Basic Tool ◽  
Transmission Properties ◽  
Two Factors ◽  
Reference Graph

This paper discusses an evaluation method of transmission properties of networks described with regular graphs (Reference Graphs) using unevenness coefficients. The first part of the paper offers generic information about describing network topology via graphs. The terms ‘chord graph’ and ‘Reference Graph’, which is a special form of a regular graph, are defined. The operating principle of a basic tool used for testing the network’s transmission properties is discussed. The next part consists of a description of the searching procedure of the shortest paths connecting any two nodes of a graph and the method determining the number of uses of individual graph edges. The analysis shows that using particular edges of a graph depends on two factors: their total number in minimum length paths and their total number in parallel paths connecting the graph nodes. The latter makes it possible to define an unevenness coefficient. The calculated values of the unevenness coefficients can be used to evaluate the transmission properties of networks and to control the distribution of transmission resources.

scholarly journals The Method of Determining the Optimal Transmission Resources Distribution of ICT Networks Modelled by Graphs

2021 ◽  
Vol 22 (3) ◽  
pp. 353-366
Author(s):  
Sławomir Bujnowski ◽  
Beata Marciniak ◽  
Tomasz Marciniak ◽  
Zbigniew Lutowski
Keyword(s):  
Graph Theory ◽  
Minimum Length ◽  
Network Resources ◽  
Network Nodes ◽  
Transmission Properties ◽  
Resources Distribution

Abstract The paper discusses the method of improvement of transmission properties of ICT networks by setting the correct distribution of transmission resources in order that it is possible to increase the resulting global probability of supporting the calls generated in the nodes included in the network. The method uses some parts of the graph theory. A minimum length path searching algorithm was used which made it possible to calculate the volume of movement transferred by individual edges of the graph describing the network. The coefficient of the distribution of transmission resources was determined and used to calculate the value of the resources in reference to a particular link, both in the case of equal and diverse movement generated in individual network nodes. A piece of software was developed which uses the results of applying the above-mentioned algorithm to prepare the files describing the analyzed structures in order to carry out simulation tests. The views and analyses are illustrated by examples, and the resulting effects of the influence of the introduction of the method of dividing network resources into transmission properties of a network modelled by graphs are shown in the charts included.

Man-Computer Derivations of Tree Structure from Multivariate Data

1968 ◽  
Author(s):  
Gerald H. Shure ◽  
Laurence I. Press ◽  
Miles S. Rogers
Keyword(s):  
Multivariate Data ◽  
Tree Structure

Building a tree structure

1976 ◽  
Author(s):  
Patricia Marks Greenfield ◽  
Leslie Schneider
Keyword(s):  
Tree Structure
Sign in / Sign up

Export Citation Format

Share Document