Abstract
Networks can be used to represent objects embedded in Euclidian space or symbolize multi-dimensional links between heterogeneous objects ranging from words or logical associations to social relationships and natural phenomena. In view of their size and range of applications, percolation in networks is a phenomenon that can simulate many types of processes progressing through a network. In our study we take a particular interest in understanding how percolation can be applied to understand the propagation of signals through a sensor network field; more specifically we consider percolation from a source to some arbitrary destination.