Studying information dissemination in a d2d network using Call details records

Abstract : Contact: vincent.gauthier@telecom-sudparis.eu http://complex.luxbulb.org/content/d4d-challenge AbstrAct In a network of devices in close proximity such as Device to Device (D2D) communication, we study the dissemination of public safety information at country scale level. In order to provide a realistic model for the information dissemination, we extract spatial distribution of the population of Ivory Coast from census data and determine migration pattern from the call detail records obtained during the Data for Development (D4D) challenge [1]. We latter apply epidemic model towards the information dissemination process. We then propose enhancements to the dissemination model by adding latent states and beamforming to the epidemic model. In this paper, we study the transient states towards the evolution of the population having the information for different cases. Through the results we show that enhancements in the dissemination process can be achieved in large and realistic scenarios. context: DisseminAtion of emergency informAtion in metApopulAtion AnD DynAmic network using epiDemic moDel.
Type de document :
Poster
Digital Symposium: Grande échelle & Complexité, Institut Mines-Télécom, Mar 2014, Paris, France. 〈10.6084/m9.figshare.69817〉
Liste complète des métadonnées

https://hal.inria.fr/hal-01302824
Contributeur : Agarwal Rachit <>
Soumis le : vendredi 15 avril 2016 - 10:49:04
Dernière modification le : jeudi 26 avril 2018 - 10:28:24

Fichier

publicationposter.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

Citation

Rachit Agarwal, Vincent Gauthier, Monique Becker, Thouraya Toukabrigunes, Hossam Afifi. Studying information dissemination in a d2d network using Call details records. Digital Symposium: Grande échelle & Complexité, Institut Mines-Télécom, Mar 2014, Paris, France. 〈10.6084/m9.figshare.69817〉. 〈hal-01302824〉

Partager

Métriques

Consultations de la notice

193

Téléchargements de fichiers

273