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An Information Theoretic Framework to Analyze Molecular Communication Systems Based on Statistical Mechanics

Tutkimustuotosvertaisarvioitu

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An Information Theoretic Framework to Analyze Molecular Communication Systems Based on Statistical Mechanics. / Akyildiz, Ian F.; Pierobon, Massimiliano; Balasubramaniam, Sasitharan.

julkaisussa: Proceedings of the IEEE, Vuosikerta 107, Nro 7, 01.07.2019, s. 1230-1255.

Tutkimustuotosvertaisarvioitu

Harvard

Akyildiz, IF, Pierobon, M & Balasubramaniam, S 2019, 'An Information Theoretic Framework to Analyze Molecular Communication Systems Based on Statistical Mechanics', Proceedings of the IEEE, Vuosikerta. 107, Nro 7, Sivut 1230-1255. https://doi.org/10.1109/JPROC.2019.2927926

APA

Akyildiz, I. F., Pierobon, M., & Balasubramaniam, S. (2019). An Information Theoretic Framework to Analyze Molecular Communication Systems Based on Statistical Mechanics. Proceedings of the IEEE, 107(7), 1230-1255. https://doi.org/10.1109/JPROC.2019.2927926

Vancouver

Akyildiz IF, Pierobon M, Balasubramaniam S. An Information Theoretic Framework to Analyze Molecular Communication Systems Based on Statistical Mechanics. Proceedings of the IEEE. 2019 heinä 1;107(7):1230-1255. https://doi.org/10.1109/JPROC.2019.2927926

Author

Akyildiz, Ian F. ; Pierobon, Massimiliano ; Balasubramaniam, Sasitharan. / An Information Theoretic Framework to Analyze Molecular Communication Systems Based on Statistical Mechanics. Julkaisussa: Proceedings of the IEEE. 2019 ; Vuosikerta 107, Nro 7. Sivut 1230-1255.

Bibtex - Lataa

@article{2df03d8921b74c69b686e65580544bf2,
title = "An Information Theoretic Framework to Analyze Molecular Communication Systems Based on Statistical Mechanics",
abstract = "Over the past 10 years, molecular communication (MC) has established itself as a key transformative paradigm in communication theory. Inspired by chemical communications in biological systems, the focus of this discipline is on the modeling, characterization, and engineering of information transmission through molecule exchange, with immediate applications in biotechnology, medicine, ecology, and defense, among others. Despite a plethora of diverse contributions, which has been published on the subject by the research community, a general framework to study the performance of MC systems is currently missing. This paper aims at filling this gap by providing an analysis of the physical processes underlying MC, along with their information-theoretic underpinnings. In particular, a mathematical framework is proposed to define the main functional blocks in MC, supported by general models from chemical kinetics and statistical mechanics. In this framework, the Langevin equation is utilized as a unifying modeling tool for molecule propagation in MC systems, and as the core of a methodology to determine the information capacity. Diverse MC systems are classified on the basis of the processes underlying molecule propagation, and their contribution in the Langevin equation. The classifications and the systems under each category are as follows: random walk (calcium signaling, neuron communication, and bacterial quorum sensing), drifted random walk (cardiovascular system, microfluidic systems, and pheromone communication), and active transport (molecular motors and bacterial chemotaxis). For each of these categories, a general information capacity expression is derived under simplifying assumptions and subsequently discussed in light of the specific functional blocks of more complex MC systems. Finally, in light of the proposed framework, a roadmap is envisioned for the future of MC as a discipline.",
keywords = "Fokker-Planck equation, information capacity, Langevin equation, molecular communication (MC), nanonetworks, Poisson noise, statistical mechanics",
author = "Akyildiz, {Ian F.} and Massimiliano Pierobon and Sasitharan Balasubramaniam",
note = "EXT={"}Akyildiz, Ian F.{"}",
year = "2019",
month = "7",
day = "1",
doi = "10.1109/JPROC.2019.2927926",
language = "English",
volume = "107",
pages = "1230--1255",
journal = "Proceedings of the IEEE",
issn = "0018-9219",
publisher = "Institute of Electrical and Electronics Engineers",
number = "7",

}

RIS (suitable for import to EndNote) - Lataa

TY - JOUR

T1 - An Information Theoretic Framework to Analyze Molecular Communication Systems Based on Statistical Mechanics

AU - Akyildiz, Ian F.

AU - Pierobon, Massimiliano

AU - Balasubramaniam, Sasitharan

N1 - EXT="Akyildiz, Ian F."

PY - 2019/7/1

Y1 - 2019/7/1

N2 - Over the past 10 years, molecular communication (MC) has established itself as a key transformative paradigm in communication theory. Inspired by chemical communications in biological systems, the focus of this discipline is on the modeling, characterization, and engineering of information transmission through molecule exchange, with immediate applications in biotechnology, medicine, ecology, and defense, among others. Despite a plethora of diverse contributions, which has been published on the subject by the research community, a general framework to study the performance of MC systems is currently missing. This paper aims at filling this gap by providing an analysis of the physical processes underlying MC, along with their information-theoretic underpinnings. In particular, a mathematical framework is proposed to define the main functional blocks in MC, supported by general models from chemical kinetics and statistical mechanics. In this framework, the Langevin equation is utilized as a unifying modeling tool for molecule propagation in MC systems, and as the core of a methodology to determine the information capacity. Diverse MC systems are classified on the basis of the processes underlying molecule propagation, and their contribution in the Langevin equation. The classifications and the systems under each category are as follows: random walk (calcium signaling, neuron communication, and bacterial quorum sensing), drifted random walk (cardiovascular system, microfluidic systems, and pheromone communication), and active transport (molecular motors and bacterial chemotaxis). For each of these categories, a general information capacity expression is derived under simplifying assumptions and subsequently discussed in light of the specific functional blocks of more complex MC systems. Finally, in light of the proposed framework, a roadmap is envisioned for the future of MC as a discipline.

AB - Over the past 10 years, molecular communication (MC) has established itself as a key transformative paradigm in communication theory. Inspired by chemical communications in biological systems, the focus of this discipline is on the modeling, characterization, and engineering of information transmission through molecule exchange, with immediate applications in biotechnology, medicine, ecology, and defense, among others. Despite a plethora of diverse contributions, which has been published on the subject by the research community, a general framework to study the performance of MC systems is currently missing. This paper aims at filling this gap by providing an analysis of the physical processes underlying MC, along with their information-theoretic underpinnings. In particular, a mathematical framework is proposed to define the main functional blocks in MC, supported by general models from chemical kinetics and statistical mechanics. In this framework, the Langevin equation is utilized as a unifying modeling tool for molecule propagation in MC systems, and as the core of a methodology to determine the information capacity. Diverse MC systems are classified on the basis of the processes underlying molecule propagation, and their contribution in the Langevin equation. The classifications and the systems under each category are as follows: random walk (calcium signaling, neuron communication, and bacterial quorum sensing), drifted random walk (cardiovascular system, microfluidic systems, and pheromone communication), and active transport (molecular motors and bacterial chemotaxis). For each of these categories, a general information capacity expression is derived under simplifying assumptions and subsequently discussed in light of the specific functional blocks of more complex MC systems. Finally, in light of the proposed framework, a roadmap is envisioned for the future of MC as a discipline.

KW - Fokker-Planck equation

KW - information capacity

KW - Langevin equation

KW - molecular communication (MC)

KW - nanonetworks

KW - Poisson noise

KW - statistical mechanics

U2 - 10.1109/JPROC.2019.2927926

DO - 10.1109/JPROC.2019.2927926

M3 - Article

VL - 107

SP - 1230

EP - 1255

JO - Proceedings of the IEEE

JF - Proceedings of the IEEE

SN - 0018-9219

IS - 7

ER -