Age of Information-based Performance of Ultrasonic Communication Channels for Nanosensor-to-Gateway Communication

The successful connection between in-body nanosensors and gateway devices outside the human body enables the identification of diseases, before symptoms even appear. In this paper, we investigate the timely detection of abnormalities using nanosensors flowing in the blood vessels and reporting to ex...

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Bibliographic Details
Published in:IEEE transactions on molecular, biological, and multi-scale communications biological, and multi-scale communications, 2023-06, Vol.9 (2), p.1-1
Main Authors: Gomez, Jorge Torres, Angjo, Joana, Dressler, Falko
Format: Article
Language:English
Subjects:
Abnormalities
Acoustics
AoI
Biomedical monitoring
Bit error rate
Blood
Blood flow
Blood vessels
Communication
Computer networks
Exact solutions
In-body nanocommunication
Markov chains
Markov model
Markov processes
Mathematical models
Measurement
mobility
Monitoring
Nanosensors
ns-3
Random processes
Signs and symptoms
Simulation
ultrasonic
Waveforms
Wearable technology
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Summary:The successful connection between in-body nanosensors and gateway devices outside the human body enables the identification of diseases, before symptoms even appear. In this paper, we investigate the timely detection of abnormalities using nanosensors flowing in the blood vessels and reporting to external wearable devices. We develop analytic solutions to evaluate the information freshness using the average PAoI metric. We model the mobility of nanosensors in the blood flow as a random process through a Markov chain. The communication capabilities with external devices to report detected abnormalities are modeled as a LTV channel. Besides, for communication with external devices, we study the impact of the mobility of nanosensors when using ultrasonic waveforms and integrate it with the PAoI formulation. In addition to a previously proposed analytical model, we perform large-scale simulations using BVS) and the network simulator ns-3. As primary metrics, we use the BER, the PER, and the average PAoI. The results give clear insights into the impact of the position of the external monitor. We also illustrate that local communication performance almost does not influence the average PAoI.
ISSN:2372-2061
2372-2061
DOI:10.1109/TMBMC.2023.3273452