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Poster De Conférence Année : 2013

Enhancing information dissemination in metapopulation using human mobility trace and beamforming

Résumé

Dissemination of information in mobile adhoc net- works has lately picked up lot of interest. Some studies argue that the dissemination in these networks should be constraint while some argue that it should not. Research has found that it depends on the type of the application that is considered. Towards this, we would like to propose a mechanism for enhancing dissemination of information in mobile adhoc environment. We use the concept of metapopulation model, epidemic model, beamforming and the mobility results obtained after the mining the dataset provided by the D4D Organizers. In this paper we first propose addition of three latent states to the existing SIR model and then add beamforming concepts. In this paper, we study the transient states to see the evolution of number of devices having the information and the difference in the number of devices having the information when compared with different cases considered in this paper. Our results show that enhancement can be considerably achieved in terms of number of devices having the information
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Dates et versions

hal-01261472 , version 1 (25-01-2016)

Identifiants

  • HAL Id : hal-01261472 , version 1

Citer

Rachit Agarwal, Vincent Gauthier, Monique Becker. Enhancing information dissemination in metapopulation using human mobility trace and beamforming. NETMOB 2013 : 3rd International Conference on the Analysis of Mobile Phone Datasets, May 2013, Cambridge, Ma, United States. 2013. ⟨hal-01261472⟩
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