A Dynamic Clustering Algorithm for Mobile Objects
Identifieur interne : 000B24 ( France/Analysis ); précédent : 000B23; suivant : 000B25A Dynamic Clustering Algorithm for Mobile Objects
Auteurs : Dominique Fournier [France] ; Gaële Simon [France] ; Bruno Mermet [France]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2007.
Abstract
Abstract: In this paper, a multiagent algorithm for dynamic clustering is presented. This kind of clustering is intended to manage mobile data and so, to be able to continuously adapt the built clusters. First of all, potential applications of this algorithm are presented. Then the specific constraints for this kind of clustering are studied. A multiagent architecture satisfying these constraints is described. It combines an ants algorithm with a cluster agents layer which are executed simultaneously. Finally, the first experimental results of our work are presented.
Url:
DOI: 10.1007/978-3-540-74976-9_42
Affiliations:
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<front><div type="abstract" xml:lang="en">Abstract: In this paper, a multiagent algorithm for dynamic clustering is presented. This kind of clustering is intended to manage mobile data and so, to be able to continuously adapt the built clusters. First of all, potential applications of this algorithm are presented. Then the specific constraints for this kind of clustering are studied. A multiagent architecture satisfying these constraints is described. It combines an ants algorithm with a cluster agents layer which are executed simultaneously. Finally, the first experimental results of our work are presented.</div>
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