A genetic algorithm for finding optimal location area configurations for mobility management

Author

Taheri, Javid ; Zomaya, Albert Y.

Author_Institution

Sch. of Inf. Technol., Sydney Univ., NSW

fYear

2005

fDate

17-17 Nov. 2005

Lastpage

577

Abstract

This work presents a new approach to solve the location management problem by using the location areas approach. A modified genetic algorithm is used to find the optimal configuration of location areas in a mobile network. The location areas configuration of the network is modeled so that the general condition of all the chromosomes of each population improves rapidly. Since a generic genetic algorithm will not be so efficient in solving this problem, several modifications have been made to the genetic optimizer to improve its performance. These modifications deal with the mutation operation where three types of mutation are considered after the crossover operation of the genetic algorithm. Simulation results are very promising and they lead to network configurations that are unanticipated

Keywords

genetic algorithms; local area networks; mobile communication; genetic algorithm; location area networks; mobile networks; mobility management; optimal location area configurations; Computer network management; Computer networks; GSM; Genetic algorithms; Genetic mutations; Information technology; Mobile radio mobility management; Network topology; Next generation networking; Radio spectrum management;

fLanguage

English

Publisher

ieee

Conference_Titel

Local Computer Networks, 2005. 30th Anniversary. The IEEE Conference on

Conference_Location

Sydney, NSW

ISSN

0742-1303

Print_ISBN

0-7695-2421-4

Type

conf

DOI

10.1109/LCN.2005.6

Filename

1550927