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A novel a priori simulation algorithm for absorbing receivers in diffusion-based molecular communication systems
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Wang, Yiran, Noel, Adam and Yang, Nan (2019) A novel a priori simulation algorithm for absorbing receivers in diffusion-based molecular communication systems. IEEE Transactions on NanoBioscience, 18 (3). pp. 437-447. doi:10.1109/TNB.2019.2910556 ISSN 1536-1241.
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WRAP-novel-simulation-absorbing-receivers-diffusion-base-molecular-communication-systems-2019.pdf - Accepted Version - Requires a PDF viewer. Download (1247Kb) | Preview |
Official URL: https://doi.org/10.1109/TNB.2019.2910556
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.
Item Type: | Journal Article | ||||||||
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Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering | ||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||||
Library of Congress Subject Headings (LCSH): | Molecular communication (Telecommunication) | ||||||||
Journal or Publication Title: | IEEE Transactions on NanoBioscience | ||||||||
Publisher: | IEEE | ||||||||
ISSN: | 1536-1241 | ||||||||
Official Date: | 2019 | ||||||||
Dates: |
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Volume: | 18 | ||||||||
Number: | 3 | ||||||||
Page Range: | pp. 437-447 | ||||||||
DOI: | 10.1109/TNB.2019.2910556 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||
Date of first compliant deposit: | 9 May 2019 | ||||||||
Date of first compliant Open Access: | 22 May 2019 | ||||||||
Related URLs: | |||||||||
Open Access Version: |
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