Quantifying Organization by Means of Entropy

Abstract : With the aim to reduce disorder and improve efficiency, nodes in an ad hoc network run a self-organization scheme to cooperatively organize the network. Although metrics such as complexity or self-stability are commonly used for evaluation, to the best of our knowledge, none of them quantifies the efficiency to build and maintain an organization (order). We henceforth apply the notion of entropy to ad hoc type wireless networks facilitating a quantification of the internal organizational state generated by different self-organization schemes. Invoking node and link failure probabilities, we expose the dependency of the organizational state on the self-organization protocol of choice.
Type de document :
Article dans une revue
IEEE Communications Letters, Institute of Electrical and Electronics Engineers, 2008, 12 (3), pp.185-187
Liste complète des métadonnées

Littérature citée [12 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/inria-00405877
Contributeur : Fabrice Valois <>
Soumis le : mardi 21 juillet 2009 - 11:43:06
Dernière modification le : vendredi 31 août 2018 - 12:52:05
Document(s) archivé(s) le : mardi 15 juin 2010 - 20:43:58

Fichier

jialiang_CL2007-1923.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : inria-00405877, version 1

Collections

Citation

Jia-Liang Lu, Fabrice Valois, Mischa Dohler, Dominique Barthel. Quantifying Organization by Means of Entropy. IEEE Communications Letters, Institute of Electrical and Electronics Engineers, 2008, 12 (3), pp.185-187. 〈inria-00405877〉

Partager

Métriques

Consultations de la notice

207

Téléchargements de fichiers

405