A novel fuzzy approach to estimate cell loss probability for self similar traffic in ATM networks

Author

Chandramathi, S. ; Shanmugavel, S.

Author_Institution

Sch. of Electron. & Commun. Eng., Anna Univ., Chennai, India

fYear

2001

fDate

2001

Firstpage

260

Lastpage

265

Abstract

Estimating cell loss probability (CLP) in real time for achieving satisfactory call admission control (CAC) remains an important research problem. In estimating CLP which is often specified to be less than 10 ^-9, fuzzy based techniques have been found to be more promising than crisp statistical techniques. In this paper, we propose a novel fuzzy logic algorithm based on the α-cuts of equivalence relations to estimate CLP in real time for self-similar ATM networks. The α-cuts of fuzzy sets are used to construct the membership functions of the input and output variables and to induce necessary fuzzy rules. The proposed fuzzy approach is validated by comparing the estimated values of CLP with the theoretical values. The new approach not only estimates accurate real time CLP, but also achieves it by using fewer theoretical data

Keywords

asynchronous transfer mode; fractals; fuzzy logic; fuzzy set theory; probability; telecommunication congestion control; telecommunication traffic; α-cuts; ATM networks; call admission control; cell loss probability estimation; equivalence relation; fuzzy approach; fuzzy logic algorithm; fuzzy rules; fuzzy sets; membership functions; real time estimate; self similar traffic; Asynchronous transfer mode; Call admission control; Communication system traffic control; Fuzzy logic; Intelligent networks; Monitoring; Probability; Spine; Telecommunication traffic; Traffic control;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers and Communications, 2001. Proceedings. Sixth IEEE Symposium on

Conference_Location

Hammamet

ISSN

1530-1346

Print_ISBN

0-7695-1177-5

Type

conf

DOI

10.1109/ISCC.2001.935385

Filename

935385