Optimizing routing algorithms in telecommunication networks with neural networks and fuzzy logic

Iris Gilsdorf; Wilfried Brauer

doi:10.1007/3-540-48774-3_49

Optimizing routing algorithms in telecommunication networks with neural networks and fuzzy logic

Iris Gilsdorf, Wilfried Brauer

Default

Siemens AG

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In the future the span of time between two switching actions in transport networks will become shorter and shorter. If the choice of routes is not done in the right way, the quality of the transport network will deteriorate quickly. The combination of Fuzzy Rulebases and Neural Networks offers an excellent possibility to take into account all the essential aspects for the evaluation of the possible routes. We will present three different architectures for shortest routing strategies in transport networks which try to preserve the once established network quality.

Original language	English
Title of host publication	Computational Intelligence
Subtitle of host publication	Theory and Applications - International Conference, 6th Fuzzy Days, Proceedings
Editors	Bernd Reusch
Publisher	Springer Verlag
Pages	427-434
Number of pages	8
ISBN (Print)	354066050X, 9783540660507
DOIs	https://doi.org/10.1007/3-540-48774-3_49
State	Published - 1999
Event	6th International Conference on Computational Intelligence, Fuzzy Days 1999 - Dortmund, Germany Duration: 25 May 1999 → 28 May 1999

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	1625
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	6th International Conference on Computational Intelligence, Fuzzy Days 1999
Country/Territory	Germany
City	Dortmund
Period	25/05/99 → 28/05/99

Access to Document

10.1007/3-540-48774-3_49

Cite this

Gilsdorf, I., & Brauer, W. (1999). Optimizing routing algorithms in telecommunication networks with neural networks and fuzzy logic. In B. Reusch (Ed.), Computational Intelligence: Theory and Applications - International Conference, 6th Fuzzy Days, Proceedings (pp. 427-434). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1625). Springer Verlag. https://doi.org/10.1007/3-540-48774-3_49

Gilsdorf, Iris ; Brauer, Wilfried. / Optimizing routing algorithms in telecommunication networks with neural networks and fuzzy logic. Computational Intelligence: Theory and Applications - International Conference, 6th Fuzzy Days, Proceedings. editor / Bernd Reusch. Springer Verlag, 1999. pp. 427-434 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{4e7ecb5f8fab4f80ab080070bc94ec7c,

title = "Optimizing routing algorithms in telecommunication networks with neural networks and fuzzy logic",

abstract = "In the future the span of time between two switching actions in transport networks will become shorter and shorter. If the choice of routes is not done in the right way, the quality of the transport network will deteriorate quickly. The combination of Fuzzy Rulebases and Neural Networks offers an excellent possibility to take into account all the essential aspects for the evaluation of the possible routes. We will present three different architectures for shortest routing strategies in transport networks which try to preserve the once established network quality.",

author = "Iris Gilsdorf and Wilfried Brauer",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 1999.; 6th International Conference on Computational Intelligence, Fuzzy Days 1999 ; Conference date: 25-05-1999 Through 28-05-1999",

year = "1999",

doi = "10.1007/3-540-48774-3_49",

language = "English",

isbn = "354066050X",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "427--434",

editor = "Bernd Reusch",

booktitle = "Computational Intelligence",

}

Gilsdorf, I & Brauer, W 1999, Optimizing routing algorithms in telecommunication networks with neural networks and fuzzy logic. in B Reusch (ed.), Computational Intelligence: Theory and Applications - International Conference, 6th Fuzzy Days, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1625, Springer Verlag, pp. 427-434, 6th International Conference on Computational Intelligence, Fuzzy Days 1999, Dortmund, Germany, 25/05/99. https://doi.org/10.1007/3-540-48774-3_49

Optimizing routing algorithms in telecommunication networks with neural networks and fuzzy logic. / Gilsdorf, Iris; Brauer, Wilfried.
Computational Intelligence: Theory and Applications - International Conference, 6th Fuzzy Days, Proceedings. ed. / Bernd Reusch. Springer Verlag, 1999. p. 427-434 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1625).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Optimizing routing algorithms in telecommunication networks with neural networks and fuzzy logic

AU - Gilsdorf, Iris

AU - Brauer, Wilfried

N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 1999.

PY - 1999

Y1 - 1999

N2 - In the future the span of time between two switching actions in transport networks will become shorter and shorter. If the choice of routes is not done in the right way, the quality of the transport network will deteriorate quickly. The combination of Fuzzy Rulebases and Neural Networks offers an excellent possibility to take into account all the essential aspects for the evaluation of the possible routes. We will present three different architectures for shortest routing strategies in transport networks which try to preserve the once established network quality.

AB - In the future the span of time between two switching actions in transport networks will become shorter and shorter. If the choice of routes is not done in the right way, the quality of the transport network will deteriorate quickly. The combination of Fuzzy Rulebases and Neural Networks offers an excellent possibility to take into account all the essential aspects for the evaluation of the possible routes. We will present three different architectures for shortest routing strategies in transport networks which try to preserve the once established network quality.

UR - http://www.scopus.com/inward/record.url?scp=84956678956&partnerID=8YFLogxK

U2 - 10.1007/3-540-48774-3_49

DO - 10.1007/3-540-48774-3_49

M3 - Conference contribution

AN - SCOPUS:84956678956

SN - 354066050X

SN - 9783540660507

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 427

EP - 434

BT - Computational Intelligence

A2 - Reusch, Bernd

PB - Springer Verlag

T2 - 6th International Conference on Computational Intelligence, Fuzzy Days 1999

Y2 - 25 May 1999 through 28 May 1999

ER -

Gilsdorf I, Brauer W. Optimizing routing algorithms in telecommunication networks with neural networks and fuzzy logic. In Reusch B, editor, Computational Intelligence: Theory and Applications - International Conference, 6th Fuzzy Days, Proceedings. Springer Verlag. 1999. p. 427-434. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-48774-3_49

Optimizing routing algorithms in telecommunication networks with neural networks and fuzzy logic

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this