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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 11 | 11% |
Canada | 8 | 8% |
Mexico | 4 | 4% |
United Kingdom | 4 | 4% |
Spain | 3 | 3% |
India | 2 | 2% |
Germany | 2 | 2% |
France | 2 | 2% |
Comoros | 1 | 1% |
Other | 9 | 9% |
Unknown | 52 | 53% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 82 | 84% |
Scientists | 14 | 14% |
Science communicators (journalists, bloggers, editors) | 2 | 2% |
Mendeley readers
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% |