DocumentCode :
3019319
Title :
Autonomous smart routing for network QoS
Author :
Gelenbe, Erol ; Gellman, Michael ; Lent, Ricardo ; Liu, Peixiang ; Su, Pu
Author_Institution :
Dept. of Electr. & Electron. Eng., Imperial Coll., London, UK
fYear :
2004
fDate :
17-18 May 2004
Firstpage :
232
Lastpage :
239
Abstract :
We present an autonomous adaptive quality of service (QoS) driven network system called a "cognitive packet network" (CPN), which adaptively selects paths so as to offer best effort QoS to the end users based on user defined QoS. CPN uses neural network based reinforcement learning to make routing decisions separately at each node. Measurements on an experimental test-bed are provided to show how the system responds to the choice of QoS goals. We also discuss and evaluate an extension of CPN that uses a genetic algorithm to generate and maintain paths from previously discovered information by matching their "fitness" with respect to the desired QoS.
Keywords :
computer networks; genetic algorithms; learning (artificial intelligence); neural nets; quality of service; telecommunication network routing; transport protocols; Internet protocol; adaptive QoS; adaptive packet network; cognitive packet network; network QoS; neural network; quality-of-service; reinforcement learning; smart routing; Computer science; Delay; Educational institutions; Genetic algorithms; Jitter; Learning; Neural networks; Payloads; Quality of service; Routing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Autonomic Computing, 2004. Proceedings. International Conference on
Print_ISBN :
0-7695-2114-2
Type :
conf
DOI :
10.1109/ICAC.2004.1301368
Filename :
1301368
Link To Document :
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