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Pi-truncated Functions and Rough Sets in the Classification of Internet Protocols
Ansvarlig organisasjon
2005 (engelsk)Konferansepaper, Publicerat paper (Fagfellevurdert) 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.

sted, utgiver, år, opplag, sider
Beijing, China: Tsinghua University Press - Springer , 2005.
Emneord [en]
truncated pi-functions, polygon approximation, indiscernibility relation, rough sets in IP traffic characterization
HSV kategori
Identifikatorer
URN: urn:nbn:se:bth-9913Lokal ID: oai:bth.se:forskinfo706EBA0419C7295AC125705B004BF88CISBN: 7-302-11377-7 (tryckt)OAI: oai:DiVA.org:bth-9913DiVA, id: diva2:837896
Konferanse
Eleventh International Fuzzy Systems Association World Congress - IFSA 2005
Tilgjengelig fra: 2012-09-18 Laget: 2005-08-12 Sist oppdatert: 2018-12-19bibliografisk kontrollert
Inngår i avhandling
1. Applications of Soft Computing Techniques for Wireless Communications
Åpne denne publikasjonen i ny fane eller vindu >>Applications of Soft Computing Techniques for Wireless Communications
2019 (engelsk)Licentiatavhandling, med artikler (Annet vitenskapelig)
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.

sted, utgiver, år, opplag, sider
Karlskrona: Blekinge Tekniska Högskola, 2019
Serie
Blekinge Institute of Technology Licentiate Dissertation Series, ISSN 1650-2140 ; 1
HSV kategori
Identifikatorer
urn:nbn:se:bth-17314 (URN)978-91-7295-364-2 (ISBN)
Veileder
Tilgjengelig fra: 2018-12-19 Laget: 2018-11-19 Sist oppdatert: 2019-01-17bibliografisk kontrollert

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Rakus-Andersson, Elisabeth

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