Diffusion-Based Nanonetworking: A New Modulation Technique and Performance Analysis

Arjmandi, Hamidreza; Gohari, Amin; Kenari, Masoumeh Nasiri; Bateni, Farshid

doi:10.1109/lcomm.2013.021913.122402

Cited by 175 publications

(173 citation statements)

References 11 publications

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“…However, both CSK and MoSK suffer from ISI caused by molecules from previous transmissions. Molecule concentration shift keying (MCSK) proposed in [34] borrows the ideas from CSK and MoSK. In [35], the authors propose three novel modulation techniques, i.e., concentration-based, molecular-type-based, and molecular-ratio-based, using isomers as messenger molecules for nano communication networks via diffusion.…”

Section: A Modulationmentioning

confidence: 99%

Anti-ISI Demodulation Scheme and Its Experiment-Based Evaluation for Diffusion-Based Molecular Communication

Zhai

Liu

Vasilakos³

et al. 2018

IEEE Trans.on Nanobioscience

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Abstract-In diffusion-based molecular communication (MC), the most common modulation technique is based on the concentration of information molecules. However, the random delay of molecules due to the channel with memory causes severe inter-symbol interference (ISI) among consecutive signals. In this paper, we propose a detection technique for demodulating signals, the increase detection algorithm (IDA), to improve the reliability of concentration-encoded diffusion-based molecular communication. The proposed IDA detects an increase (i.e., a relative concentration value) in molecule concentration to extract the information instead of detecting an absolute concentration value. To validate the availability of IDA, we establish a real physical tabletop testbed. And we evaluate the proposed demodulation technique using bit error rate (BER) and demonstrate by the tabletop molecular communication platform that the proposed IDA successfully minimizes and even isolates ISI so that a lower BER is achieved than the common demodulation technique.

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Section: A Modulationmentioning

confidence: 99%

Anti-ISI Demodulation Scheme and Its Experiment-Based Evaluation for Diffusion-Based Molecular Communication

Zhai

Liu

Vasilakos³

et al. 2018

IEEE Trans.on Nanobioscience

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“…As shown in literature [13], a new modulation technique based on the method of using different types of molecules for consecutive symbol time slots. This technique referred as Molecular Concentration Shift Keying (MOCSK).…”

Section: Literature Surveymentioning

confidence: 99%

“…This technique referred as Molecular Concentration Shift Keying (MOCSK). The work in [13], also proposes a new system model for propagation of molecules and the propagation channel based on the Poisson Distribution. This model is more realistic and efficient than the channel based on the Binomial Distribution.…”

Section: Literature Surveymentioning

confidence: 99%

Comparative Analysis of Three Dimensional Channel Models in Molecular Communication via Diffusion

Kaur¹,

Randhawa²

2017

International Journal of Advanced Research in Computer and Comm

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Abstract:The movement of messenger molecules in molecular communication via diffusion (MCvD) follows Gaussian distribution function. Due to the nature of random movement of information molecules (or messenger molecules), one of the key challenges is to reduce inter-symbol interference (ISI) that results from the response of diffusion process occurs in Gaussian distribution channel. In this paper, we propose and evaluate a new Poisson distribution channel model for molecular communication which is a novel solution to improve the system reliability and to reduce the impact of ISI. In this approach, now the randomly propagating messenger molecules follow Poisson distribution function. This paper analyzes and compares these two approximations of the binomial distribution of propagating molecules in 3-D MCvD system. We investigate either Poisson or Gaussian channel model is better in terms of ISI, Symbol Error Rate (SER), and communication delay via numerical simulations.

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“…There have been a number of recent works focusing on transceiver analysis [8]- [10] for such diffusion channels, cooperative systems [11], as well as information theoretic studies [12]- [14]. However, most of the recent literature has neglected the electron transfer mechanism occurring amongst living cells, and its role in cell-cell communication.…”

Section: Introductionmentioning

confidence: 99%

Queueing theory as a modeling tool for bacterial interaction: Implications for microbial fuel cells

Mitra

Michelusi

Pirbadian

et al. 2015

2015 International Conference on Computing, Networking and Communications (ICNC)

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Microbial communities play a significant role in bioremediation, plant growth promotion, human and animal digestion, drive elemental cycles, the carbon-cycle and cleaning water. They are also posed to be the engines of renewable energy via microbial fuel cells which can reverse the process of electrosynthesis. While the diffusion of chemical signals in the surrounding medium of biological systems has been heavily studied, the electron transfer mechanism occurring in living cells and its role in cell-cell interaction is less understood.Recent experimental observations open up new frontiers in the design of electron-based communication and energy networks in microbial communities, which may coexist with the more wellknown interaction strategies based on molecular diffusion. In this position paper, a series of modeling strategies is proposed, informed by experiment, to describe the large-scale interaction of bacterial communities. A new queueing theoretic model for the internal workings of a bacterium is described as well as methods based on statistical physics to scale up the queuing models. The goal is to couple modeling with experiment to optimize the design of microbial fuel cells.

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Diffusion-Based Nanonetworking: A New Modulation Technique and Performance Analysis

Cited by 175 publications

References 11 publications

Anti-ISI Demodulation Scheme and Its Experiment-Based Evaluation for Diffusion-Based Molecular Communication

Anti-ISI Demodulation Scheme and Its Experiment-Based Evaluation for Diffusion-Based Molecular Communication

Comparative Analysis of Three Dimensional Channel Models in Molecular Communication via Diffusion

Queueing theory as a modeling tool for bacterial interaction: Implications for microbial fuel cells

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