DocumentCode
2441415
Title
Topological design of local area networks using genetic algorithms
Author
Elbaum, Reuven ; Sidi, Moshe
Author_Institution
Dept. of Electr. Eng., Israel Inst. of Technol., Haifa, Israel
fYear
1995
fDate
2-6 Apr 1995
Firstpage
64
Abstract
Continually growing number of users have to exchange increasing amounts of information. Local area networks (LANs) are commonly used as the communication infrastructure that meets the demands of the users in the local environment. These networks typically consist of several LAN segments connected together via bridges. The authors describe an algorithm for designing LANs with the objective of minimizing the average network delay. The topology design includes issues such as determination of the number of segments in the network, allocating the users to the different segments and determining the interconnections and routing among the segments. The determination of the optimal LAN topology is a complicated combinatorial optimisation problem. Therefore, a heuristic algorithm which is based on genetic ideas is used. Numerical examples are provided and the quality of the designs obtained by using the algorithm is compared with lower bounds on the average network delay that are developed
Keywords
combinatorial mathematics; delays; genetic algorithms; local area networks; minimisation; network topology; telecommunication network routing; LAN; average network delay; bridges; combinatorial optimisation problem; communication infrastructure; genetic algorithms; heuristic algorithm; interconnections; local area networks; minimization; segments; topological design; Algorithm design and analysis; Bridges; Genetic algorithms; LAN interconnection; Local area networks; Media Access Protocol; Network topology; Routing; Telecommunication traffic; Traffic control;
fLanguage
English
Publisher
ieee
Conference_Titel
INFOCOM '95. Fourteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Bringing Information to People. Proceedings. IEEE
Conference_Location
Boston, MA
ISSN
0743-166X
Print_ISBN
0-8186-6990-X
Type
conf
DOI
10.1109/INFCOM.1995.515861
Filename
515861
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