Title :
A neural-network-based approach for routing in a packet switching network
Author :
Cavalieri, S. ; Di Stefano, Alessandro ; Mirabella, O.
Author_Institution :
Istituto di Inf. e Telecomunicazioni, Catania Univ., Italy
Abstract :
The authors report on routing in the packet switching network through a neural approach. The results obtained from a comparison between the latter and a minimum path algorithm are on average very similar. Each communication node learns the optimal results of a centralized routing algorithm (the Dijkstra one). This global information allows the node to operate a distributed routing in the production phase, identifying the adjacent node to which a packet is to be passed. The behavior of the neural approach is discussed and compared with the classical one
Keywords :
network routing; neural nets; packet switching; switching networks; telecommunications computer control; Dijkstra algorithm; adjacent node identification; centralized routing algorithm; communication node; counter propagation network; learning phase; neural nets; packet switching network; routing; Communication system traffic control; Costs; Degradation; Delay estimation; Intelligent networks; Neural networks; Packet switching; Production; Routing; Telecommunication traffic;
Conference_Titel :
Neural Networks, 1992. IJCNN., International Joint Conference on
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-0559-0
DOI :
10.1109/IJCNN.1992.226871
