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Pi-truncated Functions and Rough Sets in the Classification of Internet Protocols
Ansvarig organisation
2005 (Engelska)Konferensbidrag, Publicerat paper (Refereegranskat) Published
Abstract [en]

The studies of Internet Protocol data give rise to the creation of polygons consisting of finite numbers of points tied together. Since the polygons are not formalized by some mathematical expressions, we suggest creating continuous functions, which approximate them thoroughly in spite of their irregular shapes. To warrant a high accuracy of approximating, otherwise impossible to obtain when using standard curves, we test a continuous function, which is composed of joined truncated pi-class functions with seven parameters. By operating with the functions representing polygons having unusual shapes, we attempt a classification of Internet traffic data, based on datagram sizes. We adopt rough sets to assign the members to an investigated Internet class even if their origin sometimes is unknown.

Ort, förlag, år, upplaga, sidor
Beijing, China: Tsinghua University Press - Springer , 2005.
Nyckelord [en]
truncated pi-functions, polygon approximation, indiscernibility relation, rough sets in IP traffic characterization
Nationell ämneskategori
Matematik Telekommunikation Datavetenskap (datalogi)
Identifikatorer
URN: urn:nbn:se:bth-9913Lokalt ID: oai:bth.se:forskinfo706EBA0419C7295AC125705B004BF88CISBN: 7-302-11377-7 (tryckt)OAI: oai:DiVA.org:bth-9913DiVA, id: diva2:837896
Konferens
Eleventh International Fuzzy Systems Association World Congress - IFSA 2005
Tillgänglig från: 2012-09-18 Skapad: 2005-08-12 Senast uppdaterad: 2018-12-19Bibliografiskt granskad
Ingår i avhandling
1. Applications of Soft Computing Techniques for Wireless Communications
Öppna denna publikation i ny flik eller fönster >>Applications of Soft Computing Techniques for Wireless Communications
2019 (Engelska)Licentiatavhandling, sammanläggning (Övrigt vetenskapligt)
Abstract [en]

This thesis presents methods and applications of Fuzzy Logic and Rough Sets in the domain of Telecommunications at both the network and physical layers. Specifically, the use of a new class of functions, the truncated π functions, for classifying IP traffic by matching datagram size histograms is explored. Furthermore, work on adapting the payoff matrix in multiplayer games by using fuzzy entries as opposed to crisp values that are hard to quantify, is presented.

Additionally, applications of fuzzy logic in wireless communications are presented, comprised by a comprehensive review of current trends and applications, followed by work directed towards using it in spectrum sensing and power control in cognitive radio networks.

This licentiate thesis represents parts of my work in the fields of Fuzzy Systems and Wireless Communications. The work was done in collaboration between the Departments of Applied Signal Processing and Mathematics at Blekinge Institute of Technology.

Ort, förlag, år, upplaga, sidor
Karlskrona: Blekinge Tekniska Högskola, 2019
Serie
Blekinge Institute of Technology Licentiate Dissertation Series, ISSN 1650-2140 ; 1
Nationell ämneskategori
Telekommunikation
Identifikatorer
urn:nbn:se:bth-17314 (URN)978-91-7295-364-2 (ISBN)
Handledare
Tillgänglig från: 2018-12-19 Skapad: 2018-11-19 Senast uppdaterad: 2019-01-17Bibliografiskt granskad

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Rakus-Andersson, Elisabeth

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Rakus-Andersson, Elisabeth
MatematikTelekommunikationDatavetenskap (datalogi)

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