Algorithm Design for Multicellular Molecular Communication Simulations

Computing interactions among cells is computationally complex in multicellular molecular communication simulations, making the design of efficient algorithms crucial. We review simulation algorithms for computing interactions among cells in multicellular molecular communication simulations. The naïve algorithm, the Cell List algorithm, the Barnes–Hut algorithm, and a hybrid of the Cell List and Barnes–Hut algorithms are explored.

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Published
2025-02-21
DOI
https://doi.org/10.3390/engproc2025089005
Primary Topic
Molecular Communication and Nanonetworks
Type
article
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article

Algorithm Design for Multicellular Molecular Communication Simulations

Tadashi Nakano, Shohei Imanaka
Molecular Communication and Nanonetworks
article

Algorithm Design for Multicellular Molecular Communication Simulations

Tadashi Nakano, Shohei Imanaka
article en

Abstract

Computing interactions among cells is computationally complex in multicellular molecular communication simulations, making the design of efficient algorithms crucial. We review simulation algorithms for computing interactions among cells in multicellular molecular communication simulations. The naïve algorithm, the Cell List algorithm, the Barnes–Hut algorithm, and a hybrid of the Cell List and Barnes–Hut algorithms are explored.

Osaka Metropolitan University (JP), Tokyo Metropolitan University (JP)
Openalex Percentile: Top 97%
Molecular Communication and Nanonetworks
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Algorithm Design for Multicellular Molecular Communication Simulations — Tadashi Nakano, Shohei Imanaka · (2025) | TGRS Research Map | TGRS