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Review | Open Access

Molecular Communication in Nanonetworks

Hao Yan1( )Ge Chang1Tianhao Sun1Yingzhan Xu1Zhongke Ma1Tao Zhou1Lin Lin2( )
Institute of Nano Biomedicine and Engineering, Shanghai Engineering Research Center for Intelligent Diagnosis and Therapy Instrument, Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering; National Center for Translational Medicine, Collaborative Innovational Center for System Biology, Shanghai Jiao Tong University, Shanghai 200240, China
College of Electronics and Information Engineering, Tongji University, Shanghai, 201804, China
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Abstract

With the development of nanotechnology, bioengineering and biology, it is envisioned that biological nanomachines may flourish in assorted valuable applications considering their unique characteristics including energy efficiency, bio-compatibility and extremely small scale. However, current biological nanomachines are only able to perform simple tasks at nano-level. Therefore, nanonetworks which interconnect bio-nanomachines into a network have been proposed to overcome the limitations of individual biological nanomachine. Among the possible communication schemes for nanonetworks, modern electromagnetic communication techniques are not good solutions due to the limitation of antenna size. Inspired by nature, one promising candidate is molecular communication proposed from the perspective of communication and computer engineering. Integrated with the knowledge from communication and computer engineering, molecular communication enables biological nanomachines to interface with other biological nanomachines and existing biological systems. Their interconnections form a bio-nanonetwork which is capable to provide functions that individual nanomachines cannot accomplish. In this paper, we introduce the state-of-the-art progress in the emerging field of molecular communication. The framework, design and engineering of components and theoretical modeling of molecular communication are discussed. The research challenges and opportunities are also talked about to inspire future researches of more feasible molecular communication systems.

References

[1]

I.F. Akyildiz, J.M. Jornet, and M. Pierobon, Nanonetworks: A new frontier in communications. Communications of the ACM, 2011. 54(11): 84-89.

[2]

M.J. Doktycz, M.L. Simpson, Nano-enabled synthetic biology. Molecular Systems Biology, 2007. 3:125.

[3]

A. Goel, V. Vogel, Harnessing biological motors to engineer systems for nanoscale transport and assembly. Nature Nanotechnology, 2008. 3(8): 465-475.

[4]

I.F. Akyildiz, F. Brunetti, and C. Blázquez, Nanonetworks: A new communication paradigm. Computer Networks, 2008. 52(12): 2260-2279.

[5]
T. Nakano, T. Suda, M. Moore, et al., Molecular communication for nanomachines using intercellular calcium signaling. Proceedings of 2005 5th IEEE Conference on Nanotechnology. Nagoya, Japan, Jul. 11-15, 2005: 478 - 481 vol. 2.
[6]
A. Enomoto, M. Moore, T. Nakano, et al., A molecular communication system using a network of cytoskeletal filaments. Technical Proceedings of the 2006 NSTI Nanotechnology Conference and Trade Show, Volume 1. Boston, USA., May 7-11, 2006: 725-728.
[7]
Y. Moritani, S. Hiyama, and T. Suda. Molecular communication among nanomachines using vesicles. Technical Proceedings of the 2006 NSTI Nanotechnology Conference and Trade Show, Volume 2. Boston, USA., May 7-11, 2006: 705-708.
[8]
S. Hiyama, Y. Moritani, T. Suda, et al., An autonomous molecular transport system using DNAs and motor proteins in molecular communication. Proceedings of the 2nd International ICST Conference on Bio-Inspired Models of Network, Information, and Computing Systems, BIONETICS 2007. Budapest, Hungary, Dec. 10-13, 2007: 135-138.
[9]
A.W. Eckford, N. Farsad, S. Hiyama, et al., Microchannel molecular communication with nanoscale carriers: Brownian motion versus active transport. Proceedings of 10th IEEE International Conference on Nanotechnology. Aug. 17-20, 2010: 2010: 854-858.
[10]

M. Pierobon, I.F. Akyildiz, A physical end-to-end model for molecular communication in nanonetworks. IEEE Journal on Selected Areas in Communications, 2010. 28(4): 602-611.

[11]
A.W. Eckford, Achievable information rates for molecular communication with distinct molecules. Proceedings of 2007 2nd Bio-Inspired Models of Network, Information and Computing Systems. Budapest, Hungary, Dec. 10-13, 2007: 313-315.
[12]

M. Pierobon, I.F. Akyildiz, Capacity of a diffusion-based molecular communication system with channel memory and molecular noise. IEEE Transactions on Information Theory, 2013. 59(2): 942-954.

[13]

K. Srinivas, A.W. Eckford, and R.S. Adve, Molecular communication in fluid media: The additive inverse gaussian noise channel. IEEE Transactions on Information Theory, 2012. 58(7): 4678-4692.

[14]

A.C. Heren, H.B. Yilmaz, C.-B. Chae, et al., Effect of degradation in molecular communication: Impairment or enhancement? IEEE Transactions on Molecular, Biological and Multi-Scale Communications, 2015. 1(2): 217-229.

[15]

C.T. Chou, Impact of receiver reaction mechanisms on the performance of molecular communication networks. IEEE Transactions on Nanotechnology, 2015. 14(2): 304-317.

[16]

T. Nakano, M.J. Moore, F. Wei, et al., Molecular communication and networking: opportunities and challenges. IEEE Transactions on Nanobioscience, 2012. 11(2):135-148.

[17]

N. Farsad, H.B. Yilmaz, A. Eckford, et al., A Comprehensive Survey of Recent Advancements in Molecular Communication. IEEE Communications Surveys and Tutorials, 2016. 18(3):1887-1919.

[18]

T. Nakano, T. Suda, Y. Okaie, et al., Molecular communication among biological nanomachines: A layered architecture and research issues. IEEE Transactions on Nanobioscience, 2014. 13(3):169-197.

[19]

W. Guo, T. Asyhari, N. Farsad, et al., Molecular communications: Channel model and physical layer techniques. IEEE Wireless Communications, 2016. 23(4): 120-127.

[20]

R.V. Sternberg, DNA codes and information: Formal structures and relational causes. Acta Biotheoretica, 2008. 56(3): 205-232.

[21]

R.W. Harrison, I.V. Kourinov, and I.T. Weber, Modeling protein-ligand interactions. Biophysical Journal, 1995. 68(2 PART 2): A6.

[22]

D. Kilinc, O.B. Akan, Receiver Design for Molecular Communication. IEEE Journal on Selected Areas in Communications, 2013. 31(12): 705-714.

[23]
R. Mosayebi, H. Arjmandi, A. Gohari, et al., Diffusion based molecular communication: A simple near optimal receiver. Proceedings of 2014 Iran Workshop on Communication and Information Theory. Tehran, Iran, May 7-8, 2014: 1-4.
[24]

T.E. Mallouk, A. Sen, Powering Nanorobots. Scientific American, 2009. 300(5):72-77.

[25]

Y.Z. Du, Y. Hiratsuka, S. Taira, et al., Motor protein nano-biomachine powered by self-supplying ATP. Chemical Communications, 2005(16): 2080-2082.

[26]

W. Gao, S. Sattayasamitsathit, K.M. Manesh, et al., Magnetically powered flexible metal nanowire motors. Journal of the American Chemical Society, 2010. 132(41): 14403-14405.

[27]

S. Sanchez, A.A. Solovev, S.M. Harazim, et al., Microbots swimming in the flowing streams of microfluidic channels. Journal of the American Chemical Society, 2011. 133(4): 701-703.

[28]

I.F. Akyildiz, F. Brunetti, and C. Blazquez, Nanonetworks: A new communication paradigm. Computer Networks, 2008. 52(12): 2260-2279.

[29]
Y. Moritani, S. Hiyama, and T. Suda, Molecular communication for health care applications. Proceedings. Proceedings of Fourth Annual IEEE International Conference on Pervasive Computing and Communications Workshop-PerCom Workshop 2006. Pisa, Italy, Mar. 13-17, 2006: 549-553.
[30]
M. Hirabayashi, A. Nishikawa, F. Tanaka, et al., Design of molecular-based network robots - Toward the environmental control. Proceedings of 2011 11th IEEE International Conference on Nanotechnology. Aug. 15-18, 2011: 313-318.
[31]

B. Atakan, O.B. Akan, and S. Balasubramaniam, Body area nanonetworks with molecular communications in nanomedicine. IEEE Communications Magazine, 2012. 50(1): 28-34.

[32]

O. Veiseh, J.W. Gunn, and M.Q. Zhang, Design and fabrication of magnetic nanoparticles for targeted drug delivery and imaging. Advanced Drug Delivery Reviews, 2010. 62(3): 284-304.

[33]

H. Craighead, Future lab-on-a-chip technologies for interrogating individual molecules. Nature, 2006. 442(7101): 387-393.

[34]

T. Nakano, Biologically Inspired network systems: A review and future prospects. IEEE Transactions on Systems Man and Cybernetics Part C-Applications and Reviews, 2011. 41(5): 630-643.

[35]

M.T. Chen, R. Weiss, Artificial cell-cell communication in yeast Saccharomyces cerevisiae using signaling elements from Arabidopsis thaliana. Nature Biotechnology, 2005. 23(12): 1551-1555.

[36]

S. Basu, Y. Gerchman, C.H. Collins, et al., A synthetic multicellular system for programmed pattern formation. Nature, 2005. 434(7037): 1130-1134.

[37]

L.C. You, R.S. Cox, R. Weiss, et al., Programmed population control by cell-cell communication and regulated killing. Nature, 2004. 428(6985): 868-871.

[38]

A. Guney, B. Atakan, and O.B. Akan, Mobile ad hoc nanonetworks with collision-based molecular communication. IEEE Transactions on Mobile Computing, 2012. 11(3): 353-366.

[39]
A. Einolghozati, M. Sardari, F. Fekri, et al., Collective sensing-capacity of bacteria populations. Proceedings of 2012 IEEE International Symposium on Information Theory Proceedings. Cambridge, USA., Jul. 1-6, 2012: 2959 - 2963.
[40]

Y. Sasaki, Y. Shioyama, W.-J. Tian, et al., A nanosensory device fabricated on a liposome for detection of chemical signals. Biotechnology and Bioengineering, 2010. 105(1): 37-43.

[41]

M. Mukai, K. Maruo, J.I. Kikuchi, et al., Propagation and amplification of molecular information using a photoresponsive molecular switch. Supramolecular Chemistry, 2009. 21(3-4): 284-291.

[42]

D.A. LaVan, T. McGuire, and R. Langer, Small-scale systems for in vivo drug delivery. Nature Biotechnology, 2003. 21(10): 1184-1191.

[43]
T. Suda, M. Moore, T. Nakano, et al., Exploratory research on molecular communication between nanomachines. Proceedings of Genetic and Evolutionary Computation Conference. Washington, D.C., USA., Jun. 25-29, 2005.
[44]
T. Nakano, Y.-H. Hsu, W.C. Tang, et al., Microplatform for intercellular communication. 2008 3rd IEEE International Conference on Nano/Micro Engineered and Molecular Systems. Sanya, China, Jan. 6-9, 2008: 476-479.
[45]

T. Nakano, T. Koujin, T. Suda, et al., A locally-induced increase in intracellular Ca2+ propagates cell-to-cell in the presence of plasma membrane Ca2+ ATPase inhibitors in non-excitable cells. Febs Letters, 2009. 583(22): 3593-3599.

[46]

M. Gregori, I.F. Akyildiz, A new nanonetwork architecture using flagellated bacteria and catalytic nanomotors. IEEE Journal on Selected Areas in Communications, 2010. 28(4): 612-619.

[47]

A.A. Solovev, W. Xi, D.H. Gracias, et al., Self-propelled nanotools. Acs Nano, 2012. 6(2): 1751-1756.

[48]
M.S. Kuran, H.B. Yilmaz, and T. Tugcu, A tunnel-based approach for signal shaping in molecular communication. Proceedings of 2013 IEEE International Conference on Communications Workshops. 2013. 776-781.
[49]
H.C. Berg, Random walks in biology. Princeton University Press, 1993.
[50]
M.Ş. Kuran, H.B. Yilmaz, and T. Tugcu. A tunnel-based approach for signal shaping in molecular communication. Proceedings of 2013 IEEE International Conference on Communications Workshops. Budapest, Hungary, Jun. 9-13, 2013: 776-781.
[51]

N.-R. Kim, A.W. Eckford, and C.-B. Chae, Symbol interval optimization for molecular communication with drift. IEEE Transactions on Nanobioscience, 2014. 13(3): 223-229.

[52]

S. Kadloor, R.S. Adve, and A.W. Eckford, Molecular communication using brownian motion with drift. IEEE Transactions on Nanobioscience, 2012. 11(2): 89-99.

[53]

B. Alberts, D. Bray, J. Lewis, et al., Molecular Biology of the Cell (3rd edn). Trends in Biochemical Sciences, 1995. 20(5): 210-210.

[54]

Y. Okaie, T. Nakano, T. Hara, et al., Cooperative target tracking by a mobile bionanosensor network. IEEE Transactions on Nanobioscience, 2014. 13(3): 267-277.

[55]

M.J. Moore, T. Suda, and K. Oiwa, Molecular communication: Modeling noise effects on information rate. IEEE Transactions on Nanobioscience, 2009. 8(2): 169-180.

[56]
N. Farsad, A.W. Eckford, S. Hiyama, et al., A simple mathematical model for information rate of active transport molecular communication. Proceedings of 2011 IEEE Conference on Computer Communications Workshops. Apr. 10-15, 2011: 473-478.
[57]

T. Nakano, J.-Q. Liu, Design and analysis of molecular relay channels: An information theoretic approach. IEEE Transactions on Nanobioscience, 2010. 9(3): 213-221.

[58]
A.C. Heren, M.Ş. Kuran, H.B. Yilmaz, et al., Channel capacity of calcium signalling based on inter-cellular calcium waves in astrocytes. Proceedings of 2013 IEEE International Conference on Communications Workshops. Budapest, Hungary, Jun. 9-13, 2013: 792 - 797.
[59]

N. Farsad, W. Guo, and A.W. Eckford, Tabletop molecular communication: Text messages through chemical signals. PLoS ONE, 2013, 8(12): e82935.

[60]
L. Lin, C. Yang, J. Wang, et al., Evaluation of digital baseband modulation schemes for molecular communication in nanonetworks. Proceedings of 2014 Sixth International Conference on Ubiquitous and Future Networks. Shanghai, China, 2014: 297 - 302.
[61]

L. Lin, C. Yang, M. Ma, et al., A clock synchronization method for molecular nanomachines in bionanosensor networks. IEEE Sensors Journal, 2016. 16(19): 7194-7203.

[62]

L. Lin, C. Yang, M. Ma, et al., Diffusion-based clock synchronization for molecular communication under inverse Gaussian distribution. IEEE Sensors Journal, 2015. 15(9): 4866-4874.

[63]
Z. Luo, L. Lin, and M. Ma. Offset estimation for clock synchronization in mobile molecular communication system. Proceedings of 2016 IEEE Wireless Communications and Networking Conference. Doha, Qatar, Apr. 3-6, 2016: 1-6.
[64]
L. Lin, C. Yang, S. Ma, et al., Parameter estimation of inverse Gaussian channel for diffusion-based molecular communication. Proceedings of 2016 IEEE Wireless Communications and Networking Conference. Doha, Qatar, Apr. 3-6, 2016: 1 - 6
[65]

A. Noel, K.C. Cheung, and R. Schober, Joint channel parameter estimation via diffusive molecular communication. IEEE Transactions on Molecular, Biological, and Multi-Scale Communications, 2015. 1(1): 94-107.

[66]

B. Tepekule, A.E. Pusane, H.B. Yilmaz, et al., ISI mitigation techniques in molecular communication. IEEE Transactions on Molecular, Biological, and Multi-Scale Communications, 2015. 1(2): 202-216.

Nano Biomedicine and Engineering
Pages 274-287
Cite this article:
Yan H, Chang G, Sun T, et al. Molecular Communication in Nanonetworks. Nano Biomedicine and Engineering, 2016, 8(4): 274-287. https://doi.org/10.5101/nbe.v8i4.p274-287

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Received: 04 December 2016
Accepted: 07 December 2016
Published: 20 December 2016
© 2016 Hao Yan, Ge Chang, Tianhao Sun, Yingzhan Xu, Zhongke Ma, Tao Zhou, and Lin Lin.

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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