DocumentCode
2144376
Title
A Hopfield neural network based ATM routing method for the IRIDIUM system
Author
Dimou, Ioannis ; Sandalidis, Harilaos G. ; Farsaris, Nikos J. ; Stavroulakis, Peter
Author_Institution
Telecommun. Syst. Inst. of Crete, Greece
Volume
3
fYear
2000
fDate
2000
Firstpage
1975
Abstract
An efficient model for ATM routing in the IRIDIUM system is presented in this paper. The model tries to be as realistic as possible. A proper energy function is constructed from the constraints of the ATM routing concept which are clearly indicated. The combinatorial nature of the problem is clearly shown and a properly modified Hopfield neural network can be easily applied and give adequate solutions
Keywords
Hopfield neural nets; asynchronous transfer mode; mobile satellite communication; personal communication networks; telecommunication network routing; ATM routing method; Hopfield neural network; IRIDIUM system; combinatorial problem; energy function; satellite personal communication networks; Artificial satellites; Asynchronous transfer mode; Costs; Electronic mail; Hopfield neural networks; Personal communication networks; Quality of service; Routing; Telecommunication network topology; Telephony;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Technology Conference Proceedings, 2000. VTC 2000-Spring Tokyo. 2000 IEEE 51st
Conference_Location
Tokyo
ISSN
1090-3038
Print_ISBN
0-7803-5718-3
Type
conf
DOI
10.1109/VETECS.2000.851617
Filename
851617
Link To Document