Evaluating the Impact of Data Transfer Time in Contact-Based Messaging Applications

Abstract

In this letter, we propose an analytical model based on delay differential equations (DDEs) to evaluate the diffusion of messages in groups taking into account the transmission time of themessages. This model was validated through simulation studies using the ONE simulator. Evaluation results show that, considering the impact of data transfer time is of utmost importance, as when message size increases (for example, when transmitting short videos), the diffusion is bounded by this transmission time, and the result is that the diffusion time increases slightly when the number of nodes increases (as opposed to the always decreasing diffusion time of the epidemic diffusion with no delay).