Quantifying Organization by Means of Entropy - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Journal Articles IEEE Communications Letters Year : 2008

Quantifying Organization by Means of Entropy


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.
Fichier principal
Vignette du fichier
jialiang_CL2007-1923.pdf (70.24 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

inria-00405877 , version 1 (21-07-2009)


  • HAL Id : inria-00405877 , version 1


Jia-Liang Lu, Fabrice Valois, Mischa Dohler, Dominique Barthel. Quantifying Organization by Means of Entropy. IEEE Communications Letters, 2008, 12 (3), pp.185-187. ⟨inria-00405877⟩
108 View
505 Download


Gmail Facebook Twitter LinkedIn More