TY - GEN
T1 - In Vivo Channel Characterization for Dengue Virus Infection
AU - Pal, Saswati
AU - Islam, Nabiul
AU - Misra, Sudip
AU - Balasubramaniam, Sasitharan
N1 - Funding Information:
This work was supported in part by the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant 713567, in part by Science Foundation Ireland via the CONNECT Research Centre under Grant 13/RC/2077.
Funding Information:
This work was supported in part by the European Union's Horizon 2020 research and innovation programme under the Marie Sk?odowska-Curie Grant 713567, in part by Science Foundation Ireland via the CONNECT Research Centre under Grant 13/RC/2077.
Publisher Copyright:
© 2019 Association for Computing Machinery.
PY - 2019/9/25
Y1 - 2019/9/25
N2 - Dengue, a mosquito-borne viral disease, poses a global threat owing
to the unavailability of any specific therapeutics. Since prevention is
only restricted to vector control, a clear understanding of Dengue
Virus (DENV) transmission within an infected host is essential. The
dynamics of DENV transmission addressed in light of molecular
communication paradigm is promising in providing crucial information
accounting for disease control that can lead to development
of novel approaches to clear the virus infection. In this work, we
model the DENV transmission inside the body from the point of a
mosquito bite to the targeted organs as a communication system.
Based on the physiological processes involved in the transmission
of DENV through the layers of skin and vascular systems, we identify
and propose a channel model. By considering the dynamics of
virus transmission through the channel, we analyze and calculate
different channel phenomena, such as path loss and channel noise,
and obtain an analytical expression for the capacity of the proposed
channel model. The uncertainty in signal transmission is modeled
and evaluated owing to the innate and adaptive immune response
in the channel. We performed in-silico experiments for validation
and provided numerical analysis for the channel characteristics. Our
analysis revealed that the attenuation offered in the cutaneous channel
does not result in significant signal loss. We also observed that
the variations in the channel capacity is not substantially affected
by the injection probabilities of the virus.
AB - Dengue, a mosquito-borne viral disease, poses a global threat owing
to the unavailability of any specific therapeutics. Since prevention is
only restricted to vector control, a clear understanding of Dengue
Virus (DENV) transmission within an infected host is essential. The
dynamics of DENV transmission addressed in light of molecular
communication paradigm is promising in providing crucial information
accounting for disease control that can lead to development
of novel approaches to clear the virus infection. In this work, we
model the DENV transmission inside the body from the point of a
mosquito bite to the targeted organs as a communication system.
Based on the physiological processes involved in the transmission
of DENV through the layers of skin and vascular systems, we identify
and propose a channel model. By considering the dynamics of
virus transmission through the channel, we analyze and calculate
different channel phenomena, such as path loss and channel noise,
and obtain an analytical expression for the capacity of the proposed
channel model. The uncertainty in signal transmission is modeled
and evaluated owing to the innate and adaptive immune response
in the channel. We performed in-silico experiments for validation
and provided numerical analysis for the channel characteristics. Our
analysis revealed that the attenuation offered in the cutaneous channel
does not result in significant signal loss. We also observed that
the variations in the channel capacity is not substantially affected
by the injection probabilities of the virus.
KW - Capacity analysis
KW - Channel model
KW - Dengue virus
KW - In vivo transmission
KW - Information theory
KW - Path loss
UR - http://www.scopus.com/inward/record.url?scp=85073805305&partnerID=8YFLogxK
U2 - 10.1145/3345312.3345480
DO - 10.1145/3345312.3345480
M3 - Conference contribution
AN - SCOPUS:85073805305
T3 - Proceedings of the 6th ACM International Conference on Nanoscale Computing and Communication, NANOCOM 2019
SP - 1
EP - 7
BT - Proceedings of the 6th ACM International Conference on Nanoscale Computing and Communication, NANOCOM 2019
PB - Association for Computing Machinery (ACM)
T2 - 6th ACM International Conference on Nanoscale Computing and Communication, NANOCOM 2019
Y2 - 25 September 2019 through 27 September 2019
ER -