Abstract | ||
---|---|---|
This paper presents a neural network model for routing in the space segment of a Satellite Personal Communication System. At first, a proper energy function is constructed from the constraints of the system, which are clearly indicated. The combinatorial nature of the problem is clearly shown and hence a properly modified Hopfield neural network can be easily applied to provide increased survivability and thus improve security. |
Year | DOI | Venue |
---|---|---|
2006 | 10.1145/1143549.1143623 | IWCMC |
Keywords | Field | DocType |
neural network model,iridium,neural network | Space segment,Satellite,Survivability,Computer science,Communications system,Computer network,Network simulation,Time delay neural network,Artificial neural network,Distributed computing | Conference |
ISBN | Citations | PageRank |
1-59593-306-9 | 0 | 0.34 |
References | Authors | |
4 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Peter Stavroulakis | 1 | 32 | 4.82 |
Ioannis N. Dimou | 2 | 6 | 1.20 |
Harilaos G. Sandalidis | 3 | 202 | 16.56 |
Nikos J. Farsaris | 4 | 0 | 0.34 |