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Tabletop Molecular Communication: Text Messages through Chemical Signals

Overview of attention for article published in PLOS ONE, December 2013
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24 news outlets
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10 blogs
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98 X users
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10 Facebook pages
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2 Wikipedia pages
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3 Google+ users
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1 YouTube creator

Citations

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211 Dimensions

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Title
Tabletop Molecular Communication: Text Messages through Chemical Signals
Published in
PLOS ONE, December 2013
DOI 10.1371/journal.pone.0082935
Pubmed ID
Authors

Nariman Farsad, Weisi Guo, Andrew W. Eckford

Abstract

In this work, we describe the first modular, and programmable platform capable of transmitting a text message using chemical signalling - a method also known as molecular communication. This form of communication is attractive for applications where conventional wireless systems perform poorly, from nanotechnology to urban health monitoring. Using examples, we demonstrate the use of our platform as a testbed for molecular communication, and illustrate the features of these communication systems using experiments. By providing a simple and inexpensive means of performing experiments, our system fills an important gap in the molecular communication literature, where much current work is done in simulation with simplified system models. A key finding in this paper is that these systems are often nonlinear in practice, whereas current simulations and analysis often assume that the system is linear. However, as we show in this work, despite the nonlinearity, reliable communication is still possible. Furthermore, this work motivates future studies on more realistic modelling, analysis, and design of theoretical models and algorithms for these systems.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 4%
Ecuador 1 <1%
India 1 <1%
China 1 <1%
United Kingdom 1 <1%
Venezuela, Bolivarian Republic of 1 <1%
Luxembourg 1 <1%
Unknown 109 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 22%
Researcher 22 18%
Student > Doctoral Student 10 8%
Student > Bachelor 10 8%
Student > Master 9 8%
Other 25 21%
Unknown 18 15%
Readers by discipline Count As %
Engineering 50 42%
Computer Science 15 13%
Agricultural and Biological Sciences 13 11%
Biochemistry, Genetics and Molecular Biology 5 4%
Physics and Astronomy 3 3%
Other 9 8%
Unknown 25 21%