Molecular CommunicationThis comprehensive guide, by pioneers in the field, brings together, for the first time, everything a new researcher, graduate student or industry practitioner needs to get started in molecular communication. Written with accessibility in mind, it requires little background knowledge, and provides a detailed introduction to the relevant aspects of biology and information theory, as well as coverage of practical systems. The authors start by describing biological nanomachines, the basics of biological molecular communication and the microorganisms that use it. They then proceed to engineered molecular communication and the molecular communication paradigm, with mathematical models of various types of molecular communication and a description of the information and communication theory of molecular communication. Finally, the practical aspects of designing molecular communication systems are presented, including a review of the key applications. Ideal for engineers and biologists looking to get up to speed on the current practice in this growing field. |
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Page 1
... number and timing of indistinct molecules, or the message may be inscribed directly on the molecule (like DNA); the nanoscale properties of individual molecules may be important, or only their macroscale properties (like concentration) ...
... number and timing of indistinct molecules, or the message may be inscribed directly on the molecule (like DNA); the nanoscale properties of individual molecules may be important, or only their macroscale properties (like concentration) ...
Page 5
... numbers of molecules; or continuous diffusion, for large numbers of molecules. Later, we will see that diffusion is a significant source of distortion and constraint on molecular communication systems: for instance, discrete Brownian ...
... numbers of molecules; or continuous diffusion, for large numbers of molecules. Later, we will see that diffusion is a significant source of distortion and constraint on molecular communication systems: for instance, discrete Brownian ...
Page 7
... number of balls of unknown colors. Communication then proceeds as follows: first, the transmitter chooses a color ... molecules instead of balls: the transmitter inserts molecules into the channel, which diffuse randomly in the medium ...
... number of balls of unknown colors. Communication then proceeds as follows: first, the transmitter chooses a color ... molecules instead of balls: the transmitter inserts molecules into the channel, which diffuse randomly in the medium ...
Page 8
... number of molecules becomes large. Thus, if we can find the limits of discrete Brownian motion, we have the best that can be done with molecular communication. The first work on discrete diffusion was [21], in which some “ideal ...
... number of molecules becomes large. Thus, if we can find the limits of discrete Brownian motion, we have the best that can be done with molecular communication. The first work on discrete diffusion was [21], in which some “ideal ...
Page 14
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Contents
References | 16 |
Molecular communication in biological systems | 36 |
References | 50 |
Mathematical modeling and simulation | 71 |
Communication and information theory of molecular communication | 97 |
References | 121 |
Design and engineering of molecular communication systems | 122 |
Application areas of molecular communication | 152 |
Conclusion | 169 |
Index | 177 |
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Common terms and phrases
applications architecture artificial bacteria bacterium binding biological cells biological systems Brownian motion Ca2+ calcium signaling Chapter concentration cytosol decoding defined diffusion distribution DNA molecules DNA sequence DNA walker drug delivery drug molecules efficiency encoding environment enzyme example F-minus field Figure filaments find first arrival function gap junction gap junction channels gene group of bio-nanomachines guide molecules IEEE implement information molecules Information Theory input molecules instance intracellular kinesin large number liposome Markov Markov property membrane microtubule modules molecular communica molecular communication systems molecular signals molecules i.e. motile cells motor proteins mRNA munication Nakano Nano Communication Networks nanomachines nanonetworks nanoscale neuron number of molecules output probability Proc propagate protein molecules quorum sensing random variables receiver bio-nanomachine receptors release Section sender bio-nanomachine signaling molecules simulation specific ssDNA structure substrate Suda target tion tissue engineering transmitter transport molecules types unconventional computation vesicles Wiener process