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Efficient simulation of macroscopic molecular communication: the pogona simulator

Published: 07 October 2020 Publication History

Abstract

Molecular communication in pipe networks is a novel technique for wireless data exchange. Simulating such networks accurately is difficult because of the complexity of fluid dynamics at centimeter scales, which existing molecular communication simulators do not model. The new simulator we present combines computational fluid dynamics simulation and particle movement predictions. It is optimized to be computationally efficient while offering a high degree of adaptability to complex fluid flows in larger pipe networks. We validate it by comparing the simulation with experimental results obtained in a real-world testbed.

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  • (2024)A Diffusive MPPIC Solver in OpenFOAM for Microfluidic Molecular CommunicationProceedings of the 11th Annual ACM International Conference on Nanoscale Computing and Communication10.1145/3686015.3689420(126-127)Online publication date: 28-Oct-2024
  • (2024)OpenFOAM Simulation of Microfluidic Molecular Communications: Method and Experimental ValidationIEEE Access10.1109/ACCESS.2024.343824312(109494-109512)Online publication date: 2024
  • (2023)Decoding Multiple Interfering Signals in a Macroscopic Air-based Molecular Communication SystemProceedings of the 10th ACM International Conference on Nanoscale Computing and Communication10.1145/3576781.3608722(116-121)Online publication date: 20-Sep-2023
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  1. Efficient simulation of macroscopic molecular communication: the pogona simulator

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      cover image ACM Other conferences
      NanoCom '20: Proceedings of the 7th ACM International Conference on Nanoscale Computing and Communication
      September 2020
      142 pages
      ISBN:9781450380836
      DOI:10.1145/3411295
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Publication History

      Published: 07 October 2020

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      Author Tags

      1. computational fluid dynamics
      2. molecular communication
      3. particle movement
      4. simulation tools

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      • BMBF

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      NANOCOM '20

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      NanoCom '20 Paper Acceptance Rate 24 of 24 submissions, 100%;
      Overall Acceptance Rate 97 of 135 submissions, 72%

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      Cited By

      View all
      • (2024)A Diffusive MPPIC Solver in OpenFOAM for Microfluidic Molecular CommunicationProceedings of the 11th Annual ACM International Conference on Nanoscale Computing and Communication10.1145/3686015.3689420(126-127)Online publication date: 28-Oct-2024
      • (2024)OpenFOAM Simulation of Microfluidic Molecular Communications: Method and Experimental ValidationIEEE Access10.1109/ACCESS.2024.343824312(109494-109512)Online publication date: 2024
      • (2023)Decoding Multiple Interfering Signals in a Macroscopic Air-based Molecular Communication SystemProceedings of the 10th ACM International Conference on Nanoscale Computing and Communication10.1145/3576781.3608722(116-121)Online publication date: 20-Sep-2023
      • (2022)Digital Communication Techniques in Macroscopic Air-Based Molecular CommunicationIEEE Transactions on Molecular, Biological and Multi-Scale Communications10.1109/TMBMC.2022.32201098:4(276-291)Online publication date: Dec-2022
      • (2022)Experimental System for Molecular Communication in Pipe Flow With Magnetic NanoparticlesIEEE Transactions on Molecular, Biological and Multi-Scale Communications10.1109/TMBMC.2021.30993998:2(56-71)Online publication date: Jun-2022
      • (2021)Duality Between Coronavirus Transmission and Air-Based Macroscopic Molecular CommunicationIEEE Transactions on Molecular, Biological and Multi-Scale Communications10.1109/TMBMC.2021.30717477:3(200-208)Online publication date: Sep-2021
      • (2021)Using Vector Fields for Efficient Simulation of Macroscopic Molecular CommunicationIEEE Transactions on Molecular, Biological and Multi-Scale Communications10.1109/TMBMC.2021.30549307:2(73-77)Online publication date: Jun-2021
      • (2021)Fluid dynamics-based distance estimation algorithm for macroscale molecular communicationNano Communication Networks10.1016/j.nancom.2021.10035128(100351)Online publication date: Jun-2021

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