DocumentCode :
3557341
Title :
On routing and performance comparison of techniques for packet-switched networks using learning automata
Author :
Vasilakos, Athanasios V. ; Koubias, Stavros A.
Author_Institution :
Patras Univ., Greece
fYear :
1988
fDate :
7-9 June 1988
Firstpage :
109
Abstract :
Distributed adaptive routing algorithms with the ability to adaptively proportion traffic over several paths is proposed for packet-switched data networks. A learning automaton is situated at each node of the network where a routing decision must be made and directs traffic entering the node onto one of the outgoing links. Using network feedback, and automaton modifies its routing strategy to improve its link selections. This approach has the advantage over existing routing schemes of offering a simple and extremely practical feedback and updating policy.<>
Keywords :
adaptive systems; automata theory; data communication systems; feedback; learning systems; packet switching; data networks; distributed adaptive routing algorithms; learning automata; link selection improvement; network feedback; packet-switched networks; routing decision; routing strategy modification; updating policy; Adaptive control; Computer networks; Feedback; Learning automata; Packet switching; Random variables; Routing; Switching circuits; Telecommunication traffic; Traffic control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1988., IEEE International Symposium on
Conference_Location :
Espoo, Finland
Type :
conf
DOI :
10.1109/ISCAS.1988.14879
Filename :
14879
Link To Document :
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