1 research outputs found
On the Performance Analysis of Epidemic Routing in Non-Sparse Delay Tolerant Networks
We study the behavior of epidemic routing in a delay tolerant network as a
function of node density. Focusing on the probability of successful delivery to
a destination within a deadline (PS), we show that PS experiences a phase
transition as node density increases. Specifically, we prove that PS exhibits a
phase transition when nodes are placed according to a Poisson process and
allowed to move according to independent and identical processes with limited
speed. We then propose four fluid models to evaluate the performance of
epidemic routing in non-sparse networks. A model is proposed for supercritical
networks based on approximation of the infection rate as a function of time.
Other models are based on the approximation of the pairwise infection rate. Two
of them, one for subcritical networks and another for supercritical networks,
use the pairwise infection rate as a function of the number of infected nodes.
The other model uses pairwise infection rate as a function of time, and can be
applied for both subcritical and supercritical networks achieving good
accuracy. The model for subcritical networks is accurate when density is not
close to the percolation critical density. Moreover, the models that target
only supercritical regime are accurate