Page 11 - ITU Journal Future and evolving technologies Volume 2 (2021), Issue 3 – Internet of Bio-Nano Things for health applications

ITU Journal on Future and Evolving Technologies, Volume 2 (2021), Issue 3

Rate control for therapeutic applications in Internet of Bio-Nano Things using
molecular communication: A survey

Pages 91-99
Shirin Salehi, Naghmeh Sadat Moayedian, Mohammad Taghi Shafiee

Molecular communication is transmitting and receiving chemical signals using molecules and is an
interdisciplinary field between nanotechnology, biology, and communication. Molecular
communication can be used for connecting bio-nano things. The connected nano-things build a nano-
network. Transport mechanisms in molecular communication include free diffusion, gap junction
channels, molecular motors, self-propelling microorganisms like bacteria and random collision of
mobile nano-things. Free diffusion is the most widely used transport mechanism in the literature.
Brownian motion is always available and its energy consumption is zero. This paper explores the
therapeutic applications of rate control in the Internet of Bio-Nano Things and reviews the recent trends
and advancements in the field of molecular communication. These methods aim to guarantee the desired
rate of drug molecules at the target site and overcome the side effects of excessive emission.
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Information theoretic modeling of paranodal regions in myelinated axons

Pages 101-110
Caglar Koca, Ozgur Ergul, Meltem Civas, Ozgur B. Akan

As a natural form of nanoscale communication, neuro-spike communication inspires the deployment of
nanomachines inside the human body for healthcare. To this end, the identification of failure
mechanisms in normal and diseased connections of nervous nano-networks is crucial. Thus, in this
paper, we investigate the information transmission through a single myelinated axon segment. We
introduce a realistic multi-compartmental model for a single myelinated segment by incorporating the
axon's paranodal regions to the model. Next, we characterize the myelinated segment communication
channel in terms of attenuation over the range of frequencies. Based on this, we derive the rate per
channel use and upper bound on the information capacity. The performance evaluations reveal that our
approach provides dramatic correction regarding frequency response. We believe that this result could
have a significant effect on the characterization of demyelinated axons from the information and
communication technology (ICT) perspective.
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