DocumentCode :
340915
Title :
An adaptive genetic algorithm for channel sharing in high speed networks
Author :
Markaki, M. ; Kassotakis, I. ; Vasilakos, A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Athens Nat. Tech. Univ., Greece
Volume :
5
fYear :
1998
fDate :
1998
Firstpage :
2658
Abstract :
The evolving broadband integrated services digital network (B-ISDN) is reinforcing the demand for high-speed and high-performance fiber optic local and metropolitan area networks (LANs and MANs). The number of channels available to support the isochronous traffic in high-speed LANs/MANs is limited by technology, in order to minimize the implementation costs. We provide a method using channel sharing/reusing to provide efficient management of isochronous traffic under this limitation. The proposed method is based on a hybrid genetic algorithm called hybrid genetic reuse algorithm (HGRA) and aims to accomplish the establishment of a maximal number of connections with the minimal number of isochronous channels. Simulation results are provided and they are compared with those of a graph coloring algorithm, named ICRA. The results show that the proposed method exhibits better performance than ICRA in almost all simulation runs and shows the robustness, flexibility, efficiency of using evolutionary approaches to complex real-world problems
Keywords :
ISDN; adaptive systems; digital simulation; genetic algorithms; graph colouring; metropolitan area networks; optical fibre LAN; telecommunication network management; telecommunication traffic; B-ISDN; ICRA; adaptive genetic algorithm; broadband integrated services digital network; channel reuse; channel sharing; complex real-world problems; evolutionary approaches; fiber optic LAN; fiber optic MAN; graph coloring algorithm; high speed networks; high-speed LAN/MAN; hybrid genetic reuse algorithm; implementation costs minimization; isochronous traffic management; local area networks; metropolitan area networks; performance; simulation results; Bandwidth; Biological cells; Genetic algorithms; High-speed networks; Intelligent networks; Terminology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference, 1998. GLOBECOM 1998. The Bridge to Global Integration. IEEE
Conference_Location :
Sydney,NSW
Print_ISBN :
0-7803-4984-9
Type :
conf
DOI :
10.1109/GLOCOM.1998.776468
Filename :
776468
Link To Document :
بازگشت