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