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For all simulations, constant Reynolds and Prandtl numbers (ReD = 100 and Pr = 0.71) are considered.
In dynamic simulations, constant molecular number, pressure and temperature and periodic boundary conditions were used.
To ensure that the simulations have reached equilibrium, we choose a run time (150 time steps, or wild population generations) well past the equilibrium point for any combination of parameter values (e.g., the time to 50% equilibrium under the default parameter values is 31 time steps) and present the metrics at the last time step for deterministic simulations (constant spillover).
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Using the engine shop trial data obtained under propeller law the simulation model constants are determined, using an automatic method that has been developed.
During each simulation, constant bit rate (CBR) connections are generated; each of them produces four packets per second with a packet size of 512 bytes.
For all equilibrium simulation, constant temperature (T = 300 K) was enforced using Langevin dynamics with a damping coefficient of 5 ps−1, constant pressure (p=1 atm) was enforced through the Nosé-Hoover Langevin piston method with a decay period of 100 fs and a damping time constant of 50 fs.
Mathematical models derivation, simulation, constants tuning and validations were done using commercial software.
In the simulations, the constant impedance model or the constant impedance + constant power combination model are applied, so the load change is caused by the change of the node voltage when the system frequency drops.
We performed extensive simulations under constant node density with different mobility speed and constant speed with varying node density to study the effect of node mobility speed and density on end-to-end delay and packet delivery ratio.
In the simulations a constant heat flow of radiation, that is absorbed in a defined volume, and constant permeability coefficients are assumed.
The time resolution of a time tag in the simulation is constant because the simulation advances waves and particles in each discretized time step.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com