DocumentCode
3445234
Title
Bio-inspired Algorithms for Mobility Management
Author
Taheri, Javid ; Zomaya, Albert Y.
Author_Institution
Sch. of Inf. Technol., Sydney Univ., Sydney, NSW
fYear
2008
fDate
7-9 May 2008
Firstpage
216
Lastpage
223
Abstract
This work presents a survey on bio-inspired algorithms formerly used to solve the location management problem in two different network schemes: paging cell and location area. For a better comparison, two test networks, generated by intelligent algorithms to present real world traffics, are used in this work. Several conclusions were made after comparing their answers. The results provide new insight into the mobility management problem that can influence the design of future networks.
Keywords
mobility management (mobile radio); telecommunication traffic; bioinspired algorithms; intelligent algorithms; location area schemes; location management problem; mobility management; paging cell schemes; Australia; Computer networks; GSM; Genetic algorithms; Hopfield neural networks; Information technology; Mobile radio mobility management; Network topology; Parallel architectures; Radio spectrum management;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel Architectures, Algorithms, and Networks, 2008. I-SPAN 2008. International Symposium on
Conference_Location
Sydney, NSW
ISSN
1087-4089
Print_ISBN
978-0-7695-3125-0
Type
conf
DOI
10.1109/I-SPAN.2008.26
Filename
4520219
Link To Document