Congestion Control in Ant Like Moving Agent Systems

Alexander Scheidler, Daniel Merkle, Martin Middendorf

Research output: Contribution to journalConference articleResearchpeer-review

Abstract

In this paper we study the problem of congestion in system where
agents move according to simple ant inspired movement rules. It is assumed
that the agents have to visit a service station to refill their energy storage.
After visiting the service station the ants can move randomly and fast. The
less energy an agent has the slower it becomes and the more it moves in direction of the service station. Different methods for self-organized congestion
control are proposed in this paper where the behavior of the agents compared
to the original is not changed or is changed only slightly without the need to
use any global information and without using additional sensory information.
The proposed systems are investigated with
Original languageEnglish
Book seriesIFIP International Federation for Information Processing
Pages (from-to)33-43
ISSN1571-5736
Publication statusPublished - 2008
EventIFIP 20th World Computer Congress, Second IFIP TC 10 International Conference on Biologically-Inspired Collaborative Computing (BICC 2008) -
Duration: 24. Aug 2010 → …

Conference

ConferenceIFIP 20th World Computer Congress, Second IFIP TC 10 International Conference on Biologically-Inspired Collaborative Computing (BICC 2008)
Period24/08/2010 → …

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