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Poster Communications Year : 2014

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.
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Dates and versions

hal-01302824 , version 1 (15-04-2016)

Identifiers

Cite

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⟩
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