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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/bfb005...
Part of book or chapter of book . 1998 . Peer-reviewed
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DBLP
Conference object . 2020
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Routing in telecommunications networks with ant-like agents

Authors: Eric Bonabeau; Florian Hénaux; Sylvain Guérin; Dominique Snyers; Pascale Kuntz; Guy Theraulaz;

Routing in telecommunications networks with ant-like agents

Abstract

A simple mechanism is presented, based on ant-like agents, for routing and load balancing in telecommunications networks, following the initial works of Appleby and Stewart [1] and Schoonderwoerd et al. [32,33]. In the present work, agents are very similar to those proposed by Schoonderwoerd et al. [32,33], but are supplemented with the ability to perform more computations at switching nodes, which significantly improves the network's relaxation and its response to perturbations.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
67
Top 10%
Top 1%
Top 10%
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