Impact of history on epidemic broadcast in DTNs

In this work, we present an analysis of the gain achieved in terms of efficiency with PUSH-based epidemic diffusion of messages, when maintaining and exchanging information about the infection status. Different policies for the exchange of partial status information are compared, with the aim of optimizing bandwidth usage. We analyze the effects of adding a copy-count mechanism to the maintenance of status with respect to the capability of efficiently stopping the diffusion once full coverage is achieved; to this purpose, we adopted an analytical model proposed in the literature to determine the copy-count threshold. We perform initial measures to highlight how the mobility model affects the algorithm performance.