Artificial ants for active routingDi 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) Full text not archived in this repository. It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. Abstract/SummaryAnt 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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