Effective Geometry Monte Carlo: A Fast and Reliable Simulation Framework for Molecular Communication
| Autor: | Leander Thiele, Matija Medvidovic, Fatih Dinc |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
General Computer Science
Molecular communication Computer science molecular communication Reliability (computer networking) Transmitter Monte Carlo method General Engineering Geometry 01 natural sciences 010305 fluids & plasmas Effective geometry Monte Carlo simulations 0103 physical sciences Range (statistics) diffusion channels General Materials Science Point (geometry) lcsh:Electrical engineering. Electronics. Nuclear engineering Diffusion (business) 010306 general physics lcsh:TK1-9971 spherical absorbing receivers Communication channel |
| Zdroj: | IEEE Access, Vol 7, Pp 28635-28650 (2019) |
| ISSN: | 2169-3536 |
| Popis: | Angular information of messenger molecules absorbed by a receiver plays a significant role in the molecular communication literature. In this paper, we address systematic biases and random errors in the angular information stemming from finite step sizes encountered in traditional simulation frameworks. We show that the effective geometry Monte Carlo (EG-MC) simulation algorithm, which modifies the geometry of the receiver, is a fast and reliable simulation method to overcome these systematic biases. We motivate our approach for a 3-D unbounded diffusion channel consisting of an absorbing receiver and a point transmitter. We show that, with minimal computational cost, the angular distribution of the absorbed particles by the receiver can be precisely obtained using EG-MC algorithm. Afterwards, we demonstrate the accuracy of our simulations and compare them to traditional methods. Then, we comment on the range of applicability of our results. Finally, we consider two simple cases with constant flow and show that the EG-MC algorithm gives consistent results even when the drift is dominant over diffusion. We conclude with further remarks on the computational efficiency and reliability of the EG-MC method. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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