Title :
Bio-inspired Algorithms for Mobility Management
Author :
Taheri, Javid ; Zomaya, Albert Y.
Author_Institution :
Sch. of Inf. Technol., Sydney Univ., Sydney, NSW
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;
Conference_Titel :
Parallel Architectures, Algorithms, and Networks, 2008. I-SPAN 2008. International Symposium on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-0-7695-3125-0
DOI :
10.1109/I-SPAN.2008.26
