Deterministic capacity of information flow in molecular nanonetworks

Atakan, Barış; Akan, Özgür B.

doi:10.1016/j.nancom.2010.03.003

Cited by 135 publications

(86 citation statements)

References 9 publications

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“…So far, to the best of our knowledge, there is no prior work on analytical modeling of concentration propagation and design of microfluidic channels from the FMC point of view. While a channel model solely based on diffusion is proposed in [4], the analysis of noise sources and the communication capacity in diffusion-based concentration propagation have been the main approaches for molecular communication research [3], [8]- [12]. Recently, modeling and simulation of concentration propagation in microfluidic channels have been a field of interest [13]- [19].…”

Section: • Enhancing the Concentration Propagation Via Microfluidic Cmentioning

confidence: 99%

System-Theoretic Analysis and Least-Squares Design of Microfluidic Channels for Flow-Induced Molecular Communication

Bicen

Akyildiz

2013

IEEE Trans. Signal Process.

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Abstract-Flow-induced Molecular Communication (FMC), where molecular transport is performed via flow, is utilized in microfluidic channels to enhance diffusion-based molecular communication. The incorporation of the microfluidic channel and the transport of molecules by flow, i.e., convection, require a rigorous analysis to develop an end-to-end concentration propagation model and a design for microfluidic channels. To the best of our knowledge, this is the first attempt to analyze concentration propagation in microfluidic channels from FMC perspective and devise them specifically to enhance the FMC. In this paper, a system-theoretic analysis of molecular transport is presented first. The system-theoretic model incorporates the solution of flow velocity in microfluidic channels and yields an end-to-end transfer function for concentration propagation based on building blocks of microfluidic channels. Then, the design of microfluidic channels is performed based on the least-squares Finite Impulse Response (FIR) filtering to achieve the desired end-to-end transfer function in FMC. According to the desired pass and stop bands, the required length and aspect-ratio parameters of the microfluidic channels are obtained for FIR filtering. The transfer functions for FMC is elaborated via numerical results. Furthermore, two example designs of microfluidic channels are presented for least-squares FIR band-pass and band-stop filtering in FMC.

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Section: • Enhancing the Concentration Propagation Via Microfluidic Cmentioning

confidence: 99%

System-Theoretic Analysis and Least-Squares Design of Microfluidic Channels for Flow-Induced Molecular Communication

Bicen

Akyildiz

2013

IEEE Trans. Signal Process.

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“…∂In ∂βn can be written as (10) Note that I n is hereafter used to denote I(X n ; Y n ). Since q −1 and q n are equal to 0, (10) can be given as…”

Section: Optimal Transmission Probability In MCmentioning

confidence: 99%

“…A rigorous stochastic analysis of MC and a noise model for MC are also presented in [9]. The deterministic capacity of molecular information flow in a nanonetwork is explored and the necessity of networking techniques for the realization of future nanonetworks is also discussed in [10]. There are also more recent works on the capacity of molecular communication.…”

Section: Introductionmentioning

confidence: 99%

Optimal Transmission Probability in Binary Molecular Communication

Atakan

2013

IEEE Commun. Lett.

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Abstract-Molecular communication (MC) is a promising nanoscale communication paradigm that enables nanomachines to share information by using messenger molecules. In this paper, an expression for the achievable rate in MC is first given. Then, using this expression, an optimal transmission probability is developed to maximize the MC rate. Numerical results show that the MC rate is time-dependent and the molecules freely wandering in the medium negatively affect the MC performance. However, the proposed optimal transmission probability is shown to maximize the MC rate.

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“…for a positive laminar air current of velocity v, and a diffusivity D. This is a familiar expression used in most theoretical works in molecular communications [9]. When the receiver captures molecules, the full derivation with drift velocity is complex.…”

Section: Pulse Modulated Molecular Communicationsmentioning

confidence: 99%