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In MANET or such kind of dynamic wireless networks communication paths between a source and a destination that are moving at random in the sense that forwarding nodes between them go on changing is tried to be estimated using discrete percolation theory in a dense network. Very dynamic nature of the network requires quick adaptation and self reconfiguration so to ensure no breaking of path in a session. A percolation based probabilistic approach is used to give an estimation of the path finding probability and its limit of applicability is verified in a simulation platform replicating a real dynamic network.


MANET, Node Density, Transmission Range, Correlation Factor, Node Disjoint Path, Multipath Routing, Discrete Percolation Model, Multi-Hop Technique.
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