On-Chip Molecular Communication: Analysis and Design

We consider a confined space molecular communication system, where molecules or information carrying particles are used to transfer information on a microfluidic chip. Considering that information-carrying particles can follow two main propagation schemes: passive transport, and active transport, it is not clear which achieves a better information transmission rate. Motivated by this problem, we compare and analyze both propagation schemes by deriving a set of analytical and mathematical tools to measure the achievable information rates of the on-chip molecular communication systems employing passive to active transport. We also use this toolbox to optimize design parameters such as the shape of the transmission area, to increase the information rate. Furthermore, the effect of separation distance between the transmitter and the receiver on information rate is examined under both propagation schemes, and a guidepost to design an optimal molecular communication setup and protocol is presented.

[1]  S. Takeuchi,et al.  Biomolecular-motor-based nano- or microscale particle translocations on DNA microarrays. , 2009, Nano letters.

[2]  Ian F. Akyildiz,et al.  Nanonetworks: A new communication paradigm , 2008, Comput. Networks.

[3]  Satoshi Hiyama,et al.  Molecular communication: Harnessing biochemical materials to engineer biomimetic communication systems , 2010, Nano Commun. Networks.

[4]  Richard E. Blahut,et al.  Computation of channel capacity and rate-distortion functions , 1972, IEEE Trans. Inf. Theory.

[5]  Andrew W. Eckford,et al.  Quick system design of vesicle-based active transport molecular communication by using a simple transport model , 2011, Nano Commun. Networks.

[6]  H. T. Mouftah,et al.  On the characterization of binary concentration-encoded molecular communication in nanonetworks , 2010, Nano Commun. Networks.

[7]  Nariman Farsad,et al.  A simple mathematical model for information rate of active transport molecular communication , 2011, 2011 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[8]  Andrew W. Eckford.  Timing Information Rates for Active Transport Molecular Communication , 2009, NanoNet.

[9]  Tatsuya Suda,et al.  A Biochemically-Engineered Molecular Communication System (Invited Paper) , 2008, NanoNet.

[10]  Tatsuya Suda,et al.  A Biochemically-Engineered Molecular Communication System , 2009 .

[11]  Andrew W. Eckford,et al.  Channel Design and Optimization of Active Transport Molecular Communication , 2011, BIONETICS.

[12]  Takahiro Nitta,et al.  In silico design and testing of guiding tracks for molecular shuttles powered by kinesin motors. , 2010, Lab on a chip.

[13]  T. Suda,et al.  Molecular communication for nanomachines using intercellular calcium signaling , 2005, 5th IEEE Conference on Nanotechnology, 2005..

[14]  Kazuhiro Oiwa,et al.  Molecular Communication: Modeling Noise Effects on Information Rate , 2009, IEEE Transactions on NanoBioscience.

[15]  Massimiliano Pierobon,et al.  A physical end-to-end model for molecular communication in nanonetworks , 2010, IEEE Journal on Selected Areas in Communications.

[16]  Jun S. Liu,et al.  STATISTICAL APPLICATIONS OF THE POISSON-BINOMIAL AND CONDITIONAL BERNOULLI DISTRIBUTIONS , 1997 .

[17]  Takahiro Nitta,et al.  Simulating molecular shuttle movements: towards computer-aided design of nanoscale transport systems. , 2006, Lab on a chip.

[18]  P. Silberzan,et al.  Microfluidics for biotechnology , 2005 .

[19]  Suguru Arimoto,et al.  An algorithm for computing the capacity of arbitrary discrete memoryless channels , 1972, IEEE Trans. Inf. Theory.

[20]  Andrew W. Eckford,et al.  Information Rates of Active Propagation in Microchannel Molecular Communication , 2010, BIONETICS.

[21]  N. Farsad,et al.  Microchannel molecular communication with nanoscale carriers: Brownian motion versus active transport , 2010, 10th IEEE International Conference on Nanotechnology.

[22]  Andrew W. Eckford,et al.  Nanoscale Communication with Brownian Motion , 2007, 2007 41st Annual Conference on Information Sciences and Systems.

[23]  Bruce Alberts,et al.  Essential Cell Biology , 1983 .

[24]  Tatsuya Suda,et al.  Molecular communication through gap junction channels: System design, experiments and modeling , 2007, 2007 2nd Bio-Inspired Models of Network, Information and Computing Systems.

[25]  Özgür B. Akan,et al.  An information theoretical approach for molecular communication , 2007, 2007 2nd Bio-Inspired Models of Network, Information and Computing Systems.

[26]  S. Takeuchi,et al.  Biomolecular-motor-based autonomous delivery of lipid vesicles as nano- or microscale reactors on a chip. , 2010, Lab on a chip.

[27]  Tatsuya Suda,et al.  A molecular communication system using a network of cytoskeletal filaments. , 2006 .

[28]  Ian F. Akyildiz,et al.  Bacteria-based communication in nanonetworks , 2010, Nano Commun. Networks.