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

• Autorzy: Bujnowski S. , Marciniak T. , Marciniak B. , Lutowski Z. , Marchewka A.

Identyfikatory

DOI

10.1515/ipc-2018-0002

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

telecommunication networks; node infrastructure; data transmission

• Wydawca: Instytut Telekomunikacji i Informatyki Uniwersytetu Technologiczno-Przyrodniczego w Bydgoszczy
• Czasopismo: Image Processing & Communications
• Rocznik: 2018
• Tom: Vol. 23, no. 1
• Strony: 11--19
• Opis fizyczny: Bibliogr. 13 poz., rys., tab.

Twórcy

autor

Bujnowski S.

• TP University of Science and Technology in Bydgoszcz, Poland

autor

Marciniak T.

• TP University of Science and Technology in Bydgoszcz, Poland

autor

Marciniak B.

• TP University of Science and Technology in Bydgoszcz, Poland

autor

Lutowski Z.

• TP University of Science and Technology in Bydgoszcz, Poland

autor

Marchewka A.

• TP University of Science and Technology in Bydgoszcz, Poland

Bibliografia

• [1] Coffman K. G. Odlyzko A. M. (2001). Growth of the internet Optical Fiber Telecommunications IV IP Kaminow and T. Li eds.
• [2] Cisco Visual Networking Index (VNI) Global Mobile Data Traffic Forecast 2016-2021.
• [3] Ramaswami R. Sivarajan K. Sasaki G. (2009). Optical networks: a practical perspective. Morgan Kaufmann
• [4] Radoslavov P. Tangmunarunkit H. Yu H. Govindan R. Shenker S. Estrin D. (2000). On characterizing network topologies and analyzing their impact on protocol design.
• [5] Strijkers R. Cristea M. Korkhov V. Marchal D. Belloum A. de Laat C. Meijer R. (2010 July). Network resource control for grid workflow management systems. In 2010 6th World Congress on Services (pp. 318-325). IEEE.
• [6] Kotsis G. (1992). Interconnection topologies and routing for parallel processing systems.
• [7] Xu J. (2013). Topological structure and analysis of interconnection networks (Vol. 7). Springer Science & Business Media.
• [8] Pavan C. Morais R. M. da Rocha J. R. F. Pinto A. N. (2010). Generating realistic optical transport network topologies. Journal of Optical Communications and Networking 2(1) 80-90.
• [9] Deswal S. Singhrova A. (2012). Application of graph theory in communication networks. International Journal of Application or Innovation in Engineering & Management 1(2) 66-70.
• [10] Likaj R. Shala A. Mehmetaj M. Hyseni P. Bajrami X. (2013). Application of graph theory to find optimal paths for the transportation problem. IFAC Proceedings Volumes 46(8) 235-240.
• [11] Drzycimski Z. Bujnowski. D.(2018). Analiza możliwości poprawy własności transmisyjnych sieci dzięki zastosowaniu sterowania jej zasobami. Przegląd Telekomunikacyjny - 2018 8-9 760-763.
• [12] Deo N. (1980). Teoria grafow i jej zastosowania w technice i informatyce Wydawnictwo Naukowe PWN.
• [13] Diestel R. Leader I. (2001). A conjecture concerning a limit of non-Cayley graphs. Journal of Algebraic Combinatorics 14(1) 17-25.

Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).