Firew, Hanna and Barros, Michael (2023) An Adaptable Lateral Resolution Acoustic Beamforming for the Internet of Bio-Nano Things in the Brain. IEEE Transactions on Molecular, Biological and Multi-Scale Communications, 9 (2). pp. 217-221. DOI https://doi.org/10.1109/TMBMC.2023.3274430
Firew, Hanna and Barros, Michael (2023) An Adaptable Lateral Resolution Acoustic Beamforming for the Internet of Bio-Nano Things in the Brain. IEEE Transactions on Molecular, Biological and Multi-Scale Communications, 9 (2). pp. 217-221. DOI https://doi.org/10.1109/TMBMC.2023.3274430
Firew, Hanna and Barros, Michael (2023) An Adaptable Lateral Resolution Acoustic Beamforming for the Internet of Bio-Nano Things in the Brain. IEEE Transactions on Molecular, Biological and Multi-Scale Communications, 9 (2). pp. 217-221. DOI https://doi.org/10.1109/TMBMC.2023.3274430
Abstract
The Internet of Bio-Nano Things in the Brain are minimally invasive untethered links between the brain tissue and silicon platforms. Even though these interfaces have been envisioned for many biomedical applications, it is unclear how the ultimate technology will support spatially distributed networks. In this paper, we address the distributed power allocation through adaptable beamforming by varying the acoustic beam lateral resolution. Our results show improvements in average power transfer efficiency for sparser beams compared to narrower ones for a randomly placed network of implantable devices with 15 nodes within a 4mm2 space in the neocortex.
Item Type: | Article |
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Uncontrolled Keywords: | Neural Interfaces; Wireless Network; Ultrasound beamforming; Neural dust; Network Adaptation |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 15 May 2023 16:46 |
Last Modified: | 24 Jun 2023 01:22 |
URI: | http://repository.essex.ac.uk/id/eprint/35600 |
Available files
Filename: TMBMC3274430.pdf