Title :
Network load balancing algorithm using ants computing
Author :
Une, Hiroyuki ; Qian, Fei
Author_Institution :
Eng. Fac., Hiroshima Kokusai Gakuin Univ., Japan
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;
Conference_Titel :
Intelligent Agent Technology, 2003. IAT 2003. IEEE/WIC International Conference on
Print_ISBN :
0-7695-1931-8
DOI :
10.1109/IAT.2003.1241114