Interference  in a wireless network  is  a geometrical quantity. It not only depends on the channel
variations, power levels but also on the location of transmitters in space. So the location of nodes
 play an important role in deciding the interference and hence the link quality.In the analysis of 
random wireless networks, the underlying spatial distribution of the node location is almost ubiquitously 
assumed to be the homogeneous Poisson point process. While this may be the case for certain networks,
 it is much more likely that the node distribution is not  "completely spatially random", i.e., that nodes 
are either clustered or more regularly distributed. In this talk, the effect of geometry of the  network
 on the interference  is presented. Interference and outage probabilities are  analyzed in detail for a 
clustered wireless network using tools from stochastic geometry and point processes.  
The clustering of nodes may be due to geographical factors, for example communicating nodes inside a building 
 or groups of nodes moving in a coordinated fashion. The clustering may also be "artificially" induced
 by MAC protocols.   Conditions as to when it is beneficial  to induce clustering  in a  uniformly distributed
 network  of nodes  are provided. Also the distributional  properties of  interference  for a general homogeneous
 spatial distribution of nodes, and its dependence on the path-loss model and fading will be presented.