Stochastic spatial models in large wireless networks

Author(s):  
Alireza Babaei ◽  
Bijan Jabbari
SIAM Review ◽  
1999 ◽  
Vol 41 (4) ◽  
pp. 677-718 ◽  
Author(s):  
Rick Durrett

1994 ◽  
Vol 343 (1305) ◽  
pp. 329-350 ◽  
Author(s):  
Richard Durrett ◽  
Simon A. Levin

Spatial pattern, how it arises and how it is maintained, are central foci for ecological theory. In recent years, some attention has shifted from continuum models to spatially discrete analogues, which allow easy treatment of local stochastic effects and of non-local spatial influences. Many of these fall within the area of mathematics known as `interacting particle systems', which provides a body of results that facilitate the interpretation of the suite of simulation models that have been considered, and point towards future analyses. In this paper we review the basic mathematical literature. Three influential examples from the ecological literature are considered and placed within the general framework, which is shown to be a powerful one for the study of spatial ecological interactions.


2017 ◽  
Vol 172 (1) ◽  
pp. 44-73 ◽  
Author(s):  
Simone Pigolotti ◽  
Massimo Cencini ◽  
Daniel Molina ◽  
Miguel A. Muñoz

2002 ◽  
Vol 159 (1) ◽  
pp. 57-80 ◽  
Author(s):  
M. J. Keeling ◽  
H. B. Wilson ◽  
S. W. Pacala

2012 ◽  
Vol 09 ◽  
pp. 347-353
Author(s):  
MOHAMED FARIS LAHAM ◽  
ISTHRINAYAGY KRISHNARAJAH ◽  
ABDUL KADIR JUMAAT

Stochastic spatial models are becoming a popular tool for understand the ecological and evolution of ecosystem problems. We consider the predator prey interactions in term of stochastic representation of this Lotka-Volterra model and explore the use of stochastic processes to extinction behavior of the interacting populations. Here, we present simulation of stochastic processes of continuous time Lotka-Volterra model. Euler method has been used to solve the predator prey system. The trajectory spiral graph has been plotted based on obtained solution to show the population cycle of predator as a function of time.


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