Applications of Molecular Communication Systems

Nakano, Tadashi; Okaie, Yutaka; Hara, Takahiro

doi:10.1007/978-3-319-32903-1_222-1

Cited by 3 publications

(2 citation statements)

References 22 publications

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“…The field of Molecular Communication has gained significant attention as a promising solution for nanoscale communication, enabling communication between biological entities. Molecular communication holds immense potential in a wide array of applications, ranging from biomedical and environmental monitoring to the development of nanoscale sensor networks and targeted drug delivery systems (1) . Molecular communication provides precise functioning and enables the implementation of non-invasive and target-specific therapeutic interventions (2) .…”

Section: Introductionmentioning

confidence: 99%

Assessing Molecular Throughput and Efficiency through Simulation in Diffusion-Based Molecular Communication

Katkar,

Dongre

2024

IJST

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Objectives: This study investigates the correlation of critical factors influencing throughput and efficiency in diffusion-based molecular communication systems. Method: The study presents a simulation model for 3-D diffusion-based molecular communication, incorporating essential parameters such as molecule size, transmission rate, diffusion rate, and transmitter-receiver distance. Findings: Through comprehensive simulations, the study reveals the effects of different parameters on throughput and efficiency in diffusion-based molecular communication. It highlights the critical trade-offs associated with system design and optimization. The study reveals the key factors influencing the transmission capabilities, the receiver congestion, and the overall efficiency of the communication system. Novelty: In this study, we give a study overview of the latest work of performance metrics in the field of molecular communication. A novel algorithm is proposed to find the throughput and efficiency of molecular communication. The proposed framework analyzes the intricate relationship between system parameters and performance metrics, emphasizing the potential for system optimization. Our simulation work demonstrates how the model parameters influence the performance of the molecular communication system, providing insights for enhancing the system's performance in applications such as targeted drug delivery in the future. Keywords: Molecular Communication, Diffusion, Transmission Rate, Throughput, Efficiency

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Section: Introductionmentioning

confidence: 99%

Assessing Molecular Throughput and Efficiency through Simulation in Diffusion-Based Molecular Communication

Katkar,

Dongre

2024

IJST

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“…The community has embraced the concept of MC as a typical communication system that can be connected as part of the Internet of Things. This is known as the Internet of Bio-Nano Things, where molecular communication nano-networks can transmit information to the Cyber-Internet [5,6].…”

Section: Introductionmentioning

confidence: 99%

Channel Capacity of Starch and Glucose Molecular Communications in the Small Intestine Digestive Tract

Vimalajeewa¹,

Balasubramaniam²

2021

Preprint

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The emerging field of Molecular Communication (MC) aims to characterize biological-based signaling environments through information that are encoded into molecules. Since the birth of this field, a number of different applications and biological systems have been characterized using MC theory. This study proposes a new application and direction for MC, focusing on the digestive system, where we characterize and model the starch and glucose propagation along the small intestine (SI). Based on the advection-diffusion and reaction mechanisms, we define a channel capacity for the small intestine digestive tract that is dependent on the starch to glucose conversion, velocity flow within the tract, viscosity of the digest product, and length of the tract and position of the receivers for glucose absorption. The numerical results from the derived channel capacity model shows that the SI digestive capacity depends both on physiological factors of the digestive system and type of consumed food, where the digestive capacity is greater for shorter gastric emptying time, low viscosity of the digest product and efficient enzyme activity. We believe that our digital MC model of the digestive tract and lead to personalized diet for each individual, which can potentially avoid a number of different diseases (e.g., celiac disease).

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