Influence of Tissue Anisotropy on Molecular Communication

Al-Zu'Bi, MM; Mohan, AS; Ling, SSH

Influence of Tissue Anisotropy on Molecular Communication

Al-Zu'Bi, MM Mohan, AS

Ling, SSH

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2019, pp. 2921 - 2924
Issue Date:: 2019-07-01

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Field	Value	Language
dc.contributor.author	Al-Zu'Bi, MM	en_US
dc.contributor.author	Mohan, AS https://orcid.org/0000-0002-4503-5851	en_US
dc.contributor.author	Ling, SSH https://orcid.org/0000-0003-0849-5098	en_US
dc.date.available	2021-08-12T19:01:04Z
dc.date.issued	2019-07-01	en_US
dc.identifier.citation	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2019, pp. 2921 - 2924	en_US
dc.identifier.isbn	9781538613115	en_US
dc.identifier.issn	1557-170X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/133682
dc.description.abstract	© 2019 IEEE. Many biological tissues inside the human body exhibit highly anisotropic diffusion properties; for example, tissues of the nervous system and white matter in the brain. Here, we present an improved stochastic molecular communication framework to model interaction between bionanomachines in three-dimensional (3D) anisotropic brain micro-environment. The results obtained using stochastic particle-based simulation model are validated with analytical expressions. We also derive expressions for peak amplitude and peak time for the received molecular signal. The results demonstrate that the channel impulse response in anisotropic biological media depends significantly on the diffusion tensor as well as on the locations of the nanomachines.	en_US
dc.relation.ispartof	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS	en_US
dc.relation.isbasedon	10.1109/EMBC.2019.8856347	en_US
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	Influence of Tissue Anisotropy on Molecular Communication	en_US
dc.type	Conference Proceeding
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Biomedical Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
utslib.copyright.status	open_access	*
pubs.publication-status	Published	en_US

Abstract:

© 2019 IEEE. Many biological tissues inside the human body exhibit highly anisotropic diffusion properties; for example, tissues of the nervous system and white matter in the brain. Here, we present an improved stochastic molecular communication framework to model interaction between bionanomachines in three-dimensional (3D) anisotropic brain micro-environment. The results obtained using stochastic particle-based simulation model are validated with analytical expressions. We also derive expressions for peak amplitude and peak time for the received molecular signal. The results demonstrate that the channel impulse response in anisotropic biological media depends significantly on the diffusion tensor as well as on the locations of the nanomachines.

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http://hdl.handle.net/10453/133682