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On the basis of such an observation, we build a small world routing strategy: if a node wants to communicate with a non-conterminous destination node, it simply hands its adaptive coded data packets through multiple paths selected using percolation method, greedy algorithm or other rules.
The uni-direction and bi-direction communications are then built between the source and the destination node based on percolation method and the six degrees of separation principle, and any node can reach everywhere in finite steps of relaying with a very high probability [6][15][16].
Routing and Data Transmission Method Based on Percolation
2) The fire lifetimes, the fire durations for percolations to be completed.
It can be seen that the larger the simulation matrix, the smaller the number of required trials to achieve 100 percolations, though apparently this number tends to stabilize around 190.
Table (1) Statistics resulting from 100 achieved percolations using three different lattices: 7505, 150x150 and 225x225 Lattice size 75x75 150x150 225x225 Number of Simulations to achieve 100 percolations 205 190 186 Planted Trees Min 3246 13190 29846 (100%) Ave 3337 13352 30038 Max 3421 13603 30294 Fire Duration Min 99 216 348 Ave 124 270 434 Max 204 359 701 Developed Min 13 30 46 Clusters Ave 18 36 55 Max 22 45 64 Burnt trees % Min 28.
Relationship Between Electrical and Rheological Percolations
Conductive polymer composites (CPCs) exhibit a series of unique features, such as comparatively low room temperature resistivity, a percolation phenomenon, resistivity sensitivity to temperature, pressure and gas, and a nonlinear voltage-current relationship (1-5).
To obtain high electrical conductivity, many simple binary composites have a percolation threshold around 15 vol% fillers (11), which would be predicted by classical percolation theory for a random system (12), which may result in poor process-ability, low mechanical properties and high cost (13), (14).
It is important to determine the percolation threshold because the theological behavior of such composites is generally very different before and after the percolation threshold.
This work aims at comparing which of the rheological parameters such as complex viscosity ([eta]*), elastic modulus (G') and loss modulus (G") would be most efficient at determining the percolation threshold.
Percolation Threshold Observed by Mechanical Spectroscopy