DocumentCode :
1561609
Title :
Adaptive ant-based dynamic routing algorithm
Author :
Lü, Yong ; Zhao, Guangzhou ; Su, Fanjun
Author_Institution :
Coll. of Electr. Eng., Zhejiang Univ., Hangzhou, China
Volume :
3
fYear :
2004
Firstpage :
2694
Abstract :
Network topologies are not only continuously growing, but many devices become mobile and some sort of guaranteed quality of service (QoS) is now required. In order to efficiently deal with the changing traffic loads and topologies, reduce the phenomena of congestions, this paper describes a new adaptive dynamic routing algorithm for packet-switched communications networks based on simple biological "ants" that explore the network and learn good routes, using a novel variation of reinforcement learning. Simulation results confirm that the algorithm is shown to significantly improve the network\´s relaxation and its response to perturbations.
Keywords :
learning (artificial intelligence); network topology; packet switching; quality of service; switching networks; telecommunication computing; telecommunication network routing; telecommunication traffic; adaptive dynamic routing algorithm; biological ant algorithm; network relaxation; network topology; packet switched communications networks; quality of service; reinforcement learning; traffic loads; Biological system modeling; Chemicals; Communication networks; Heuristic algorithms; Insects; Learning; Network topology; Quality of service; Routing; Telecommunication traffic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
Type :
conf
DOI :
10.1109/WCICA.2004.1342087
Filename :
1342087
Link To Document :
بازگشت