Molecular communication in three-dimensional diffusive channel with mobile nanomachines

Chouhan, Lokendra; Sharma, Prabhat Kumar

doi:10.1016/j.nancom.2020.100296

Cited by 17 publications

(6 citation statements)

References 41 publications

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“…The study also explores a system of mobile molecular communication influenced by drift, emphasizing the transfer of information between nanomachines via both direct and relay-supported routes [11]. A three-dimensional diffusive mobile molecular communication system in an unbounded environment is considered, deriving a closed-form expression for the expected hitting rate in such a scenario [12]. The fundamental concepts of various learning methodologies, including supervised, unsupervised, and reinforcement learning, are established, examining their adoption in mobile and wireless communication [13].…”

Section: Related Workmentioning

confidence: 99%

Classification of Diffusion Constants of Transmitter and Receiver and Distance Between Them Using Mobile Molecular Communication via Diffusion Model

Er,

Isik,

Kuran

et al. 2024

Arab J Sci Eng

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Molecular communication (MC) holds promise for enabling communication in scenarios where traditional wireless methods may be impractical or ineffective, offering unique capabilities for a range of applications in both natural and engineered systems. In this research, a novel approach to MC is explored, diverging from the standard use of stationary transmitter and receiver models typically found in the field. The study introduces a dynamic MC model, where both the transmitter and receiver are mobile within a diffusion environment. This model operates using a 5-bit system. The key finding is that the mobility of these nanodevices alters their distance, which in turn impacts the likelihood of molecule reception at the receiver. The study employs deep learning techniques, specifically a combination of Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks, to categorize the mobility patterns of the receiver (Rx) and transmitter (Tx). By analyzing various mobility rates (Drx and Dtx) and distances between the Tx and Rx, the research successfully identifies the most efficient mobile MC model in terms of molecule reception rates. The use of Linear Support Vector Machine alongside the CNN and LSTM hybrid feature vector resulted in an 87.68% accuracy in predicting diffusion coefficients. Moreover, using a Cubic Support Vector with the same hybrid feature vector, the study achieved an 88.09% accuracy in estimating the distance between the transmitter and receiver. The study concludes that an increase in the mobilities of Rx and Tx correlates with a higher rate of molecule reception.

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Section: Related Workmentioning

confidence: 99%

Classification of Diffusion Constants of Transmitter and Receiver and Distance Between Them Using Mobile Molecular Communication via Diffusion Model

Er,

Isik,

Kuran

et al. 2024

Arab J Sci Eng

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“…In numerical result section, we show that the BER is a convex function of ϱ, and we get an optimal value of ϱ at which the min BER is occurred. Note that the closed-form expression for optimal value of resource allocation factor ϱ * can not be obtained using (54) due to its mathematical intractability. Therefore, the value of ϱ * can be obtained using one of the numerical methods such as Bisection, Gradient descent and Newtons iterative methods.…”

Section: Resource Allocation and Optimization Inmentioning

confidence: 99%

Rescaled Brownian Motion of Molecules and Devices in Three-Dimensional Multiuser Mobile Molecular Communication Systems

Chouhan

Alouini

2022

IEEE Trans. Wireless Commun.

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This paper considers a three-dimensional anomalous-diffusive mobile molecular communication (MC) channel. Herein, the communicating devices, i.e., point transmitter (Tx) and passive receiver (Rx) can also move anomalously with the information-carrying molecule (ICM). In order to incorporate the anomalous diffusion phenomenon, the concept of rescaled-Brownian motion is explored. Two different scenarios, named point-to-point and multi-user MC systems, are considered for the analysis. First, considering the point-to-point scenario, the expressions for the channel impulse response (CIR) incorporating static and mobile Tx and Rx are derived. Further, the expressions for the peak time of CIR and the corresponding peak value are also derived. Furthermore, the point-to-point MC system is exploited in terms of bit-error-rate (BER), minimum BER, maximum mutual information, and throughput. A multiuser MC system is considered in the second scenario, and a molecular division multiple access (MDMA) method is used. The system is analyzed in terms of BER and throughput. Further, the system performance is optimized using two schemes known as min-max fairness for error probability and max-min fairness for throughput. Furthermore, we use bestto-best and best-to-worst assignment strategies to allocate different types of ICMs for each Rx. Subsequently, the optimal allocation for the number of ICMs is obtained when specific ICMs are assigned to all users/receivers for a twouser scenario. All the channel metrics are verified through particle-based and Monte-Carlo simulations.

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“…Here, transmitter and receiver bionanomachines may move due to intrinsic or extrinsic noise, and change their spatial positions stochastically. This type of random mobility may disturb the desired behavior or operations of bio-nanomachines [27]- [37] or can improve the performance of communication under specific settings [38]- [40]. Transmitter and receiver bio-nanomachines may also move directionally, such as is seen in chemotactic cells [41], and directional motion of bio-nanomachines may be useful in developing specific molecular communication mechanisms [42]- [46] or employed in developing practical applications [5], [47]- [53].…”

Section: B Mobile Molecular Communicationmentioning

confidence: 99%

Mobile Molecular Communication Through Multiple Measurements of the Concentration of Molecules

Okaie

Nakano

2020

IEEE Access

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Multiple measurements of the concentration of molecules serve as a useful technique to enable bio-nanomachines to reliably extract information encoded in the concentration of molecules. In this paper, we develop mathematical models to examine the impact of multiple measurements of the concentration of molecules on the performance of mobile molecular communication taking into account the constrains associated with the systems. In this scenario, a mobile transmitter bio-nanomachine releases a pre-defined number of molecules and a mobile receiver bio-nanomachine receives information by measuring the concentration of these molecules on multiple occasions. Numerical results obtained using the models show that multiple measurements of the concentration of molecules serve as an effective means to improve mobile molecular communication performance. INDEX TERMS Molecular communication, multiple measurements, demodulation, mobile molecular communication, bio-nanomachine VOLUME 4, 2016 This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication.

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Molecular communication in three-dimensional diffusive channel with mobile nanomachines

Cited by 17 publications

References 41 publications

Classification of Diffusion Constants of Transmitter and Receiver and Distance Between Them Using Mobile Molecular Communication via Diffusion Model

Classification of Diffusion Constants of Transmitter and Receiver and Distance Between Them Using Mobile Molecular Communication via Diffusion Model

Rescaled Brownian Motion of Molecules and Devices in Three-Dimensional Multiuser Mobile Molecular Communication Systems

Mobile Molecular Communication Through Multiple Measurements of the Concentration of Molecules

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