The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Tabletop Molecular Communication: Text Messages through Chemical Signals
Open accessAbstract
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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Alberts, B., Johnson, A., Lewis, J., Raff, M., Roberts, K., & Walter, P. (2007) · W.W. Norton eBooks · doi:10.1201/9780203833445 · Cited by 4,589
Nanonetworks: A new communication paradigm
Akyildiz, I. F., Brunetti, F., & Blázquez, C. (2008) · Computer Networks · doi:10.1016/j.comnet.2008.04.001 · Cited by 1,260
Molecular Communication and Networking: Opportunities and Challenges
Nakano, T., Moore, M. J., Wei, F., Vasilakos, A. V., & Shuai, J. (2012) · IEEE Transactions on NanoBioscience · doi:10.1109/tnb.2012.2191570 · Cited by 643
A physical end-to-end model for molecular communication in nanonetworks
Pierobon, M., & Akyildiz, I. (2010) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2010.100509 · Cited by 533
Molecular Communication in Fluid Media: The Additive Inverse Gaussian Noise Channel
Srinivas, K. V., Eckford, A. W., & Adve, R. S. (2012) · IEEE Transactions on Information Theory · doi:10.1109/tit.2012.2193554 · Cited by 391
Self-citationCapacity of a Diffusion-Based Molecular Communication System With Channel Memory and Molecular Noise
Pierobon, M., & Akyildiz, I. F. (2013) · IEEE Transactions on Information Theory · doi:10.1109/tit.2012.2219496 · Cited by 283
Body area nanonetworks with molecular communications in nanomedicine
Atakan, B., Akan, O., & Balasubramaniam, S. (2012) · IEEE Communications Magazine · doi:10.1109/mcom.2012.6122529 · Cited by 258
Molecular Communication: Modeling Noise Effects on Information Rate
Moore, M.-J., Suda, T., & Oiwa, K. (2009) · IEEE Transactions on NanoBioscience · doi:10.1109/tnb.2009.2025039 · Cited by 211
On the characterization of binary concentration-encoded molecular communication in nanonetworks
Mahfuz, M. U., Makrakis, D., & Mouftah, H. T. (2010) · Nano Communication Networks · doi:10.1016/j.nancom.2011.01.001 · Cited by 190
Nanoscale Communication with Brownian Motion
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A Comprehensive Survey of Recent Advancements in Molecular Communication
Farsad, N., Yilmaz, H. B., Eckford, A., Chae, C.-B., & Guo, W. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2016.2527741 · Cited by 968
Self-citationChannel Modeling for Diffusive Molecular Communication—A Tutorial Review
Jamali, V., Ahmadzadeh, A., Wicke, W., Noel, A., & Schober, R. (2019) · Proceedings of the IEEE · doi:10.1109/jproc.2019.2919455 · Cited by 357
Metadata
- Authors
- Farsad, N., Guo, W., & Eckford, A. W.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2013-12-18
- Volume
- 8
- Issue
- 12
- Pages
- e82935
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W1973151289
- Cited by
- 269
- References
- 24
- FWCI
- 9.74
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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