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
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;
Conference_Titel :
Vehicular Technology Conference Proceedings, 2000. VTC 2000-Spring Tokyo. 2000 IEEE 51st
Conference_Location :
Tokyo
Print_ISBN :
0-7803-5718-3
DOI :
10.1109/VETECS.2000.851617
