Epidemic information dissemination in opportunistic scenarios: a realistic model obtained from experimental traces

In this paper we present an analytical model of epidemic information dissemination in opportunistic networks. In particular we provide a fluid Markov model which relies on an underlying Markov chain which models inter-contact time distributions of nodes' pairs by exhibiting the well known power-law with exponential tail behavior. The inter-contact time process has been modeled using traces obtained by an experimental campaign carried out during the last EUCNC 2014 conference. Numerical results assess the effectiveness of the model and compare the performance achieved using the theoretical simplified exponential model and the realistic one.