DocumentCode
2224459
Title
Network load balancing algorithm using ants computing
Author
Une, Hiroyuki ; Qian, Fei
Author_Institution
Eng. Fac., Hiroshima Kokusai Gakuin Univ., Japan
fYear
2003
fDate
13-16 Oct. 2003
Firstpage
428
Lastpage
431
Abstract
It is important to reduce the mean transfer time of network, thus the routing algorithm designed to get load balancing is required. In such algorithms, every node must have the following functionalities: getting network traffic information and updating the routing table to reflect traffic information provided by node. In this paper, we describe a routing algorithm for load balancing. Our algorithm deployed ants computing and reinforcement learning. We show that our algorithm achieves load balancing for all nodes of network and works better than other algorithms.
Keywords
genetic algorithms; learning automata; network routing; resource allocation; routing protocols; Q-routing; ants computing; mean transfer time; network load balancing algorithm; network routing; network traffic information; reinforcement learning; routing algorithm; routing table; Algorithm design and analysis; Computer networks; Costs; Delay effects; Design engineering; Heuristic algorithms; Learning automata; Load management; Routing protocols; Telecommunication traffic;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Agent Technology, 2003. IAT 2003. IEEE/WIC International Conference on
Print_ISBN
0-7695-1931-8
Type
conf
DOI
10.1109/IAT.2003.1241114
Filename
1241114
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