Artificial ants for active routing
Di Fatta, G., Gaglio, S., Lo Re, G. and Ortolani, M. (2000) Artificial ants for active routing. In: Intelligent autonomous systems 6. IOS Press, Amsterdam ; Washington, DC , pp. 233-238. ISBN 9781586030780 (IOM press) ; 9784274903854 (Ohmsha)
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Ant colonies in nature provide a good model for a distributed, robust and adaptive routing algorithm. This paper proposes the adoption of the same strategy for the routing of packets in an Active Network. Traditional store-and-forward routers are replaced by active intermediate systems, which are able to perform computations on transient packets, in a way that results very helpful for developing and dynamically deploying new protocols. The adoption of the Active Networks paradigm associated with a cooperative learning environment produces a robust, decentralized routing algorithm capable of adapting to network traffic conditions.
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