Abstract
A novel a priori Monte Carlo (APMC) algorithm is proposed to accurately simulate the molecules absorbed at spherical receiver(s) with low-computational complexity in diffusion-based molecular communication (MC) systems. It is demonstrated that the APMC algorithm achieves high-simulation efficiency since by using this algorithm, the fraction of molecules absorbed for a relatively large time step length precisely matches the analytical result. Therefore, the APMC algorithm overcomes the shortcoming of the existing refined Monte Carlo (RMC) algorithm, which enables accurate simulation for a relatively small time step length only. Moreover, for the RMC algorithm, an expression is proposed to quickly predict the simulation accuracy as a function of the time step length and system parameters, which facilitates the choice of simulation time step for a given system. Furthermore, a likelihood threshold is proposed for both the RMC and APMC algorithms to significantly save computational complexity while causing an extremely small loss in accuracy.
| Original language | English |
|---|---|
| Article number | 8688496 |
| Pages (from-to) | 437-447 |
| Number of pages | 11 |
| Journal | IEEE Transactions on Nanobioscience |
| Volume | 18 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Jul 2019 |
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