Nanonetwork Explained

A nanonetwork or nanoscale network is a set of interconnected nanomachines (devices a few hundred nanometers or a few micrometers at most in size) which are able to perform only very simple tasks such as computing, data storing, sensing and actuation.[1] [2] Nanonetworks are expected to expand the capabilities of single nanomachines both in terms of complexity and range of operation by allowing them to coordinate, share and fuse information. Nanonetworks enable new applications of nanotechnology in the biomedical field, environmental research, military technology and industrial and consumer goods applications. Nanoscale communication is defined in IEEE P1906.1.

Communication approaches

Classical communication paradigms need to be revised for the nanoscale. The two main alternatives for communication in the nanoscale are based either on electromagnetic communication or on molecular communication.

Electromagnetic

This is defined as the transmission and reception of electromagnetic radiation from components based on novel nanomaterials.[3] Recent advancements in carbon and molecular electronics have opened the door to a new generation of electronic nanoscale components such as nanobatteries,[4] nanoscale energy harvesting systems,[5] nano-memories,[6] logical circuitry in the nanoscale and even nano-antennas.[7] [8] From a communication perspective, the unique properties observed in nanomaterials will decide on the specific bandwidths for emission of electromagnetic radiation, the time lag of the emission, or the magnitude of the emitted power for a given input energy, amongst others.

For the time being, two main alternatives for electromagnetic communication in the nanoscale have been envisioned. First, it has been experimentally demonstrated that is possible to receive and demodulate an electromagnetic wave by means of a nanoradio, i.e., an electromechanically resonating carbon nanotube which is able to decode an amplitude or frequency modulated wave.[9] Second, graphene-based nano-antennas have been analyzed as potential electromagnetic radiators in the terahertz band.[10]

Molecular

Molecular communication is defined as the transmission and reception of information by means of molecules.[11] The different molecular communication techniques can be classified according to the type of molecule propagation in walkaway-based, flow-based or diffusion-based communication.

In walkway-based molecular communication, the molecules propagate through pre-defined pathways by using carrier substances, such as molecular motors.[12] This type of molecular communication can also be achieved by using E. coli bacteria as chemotaxis.[13]

In flow-based molecular communication, the molecules propagate through diffusion in a fluidic medium whose flow and turbulence are guided and predictable. The hormonal communication through blood streams inside the human body is an example of this type of propagation. The flow-based propagation can also be realized by using carrier entities whose motion can be constrained on the average along specific paths, despite showing a random component. A good example of this case is given by pheromonal long range molecular communications.[14]

In diffusion-based molecular communication, the molecules propagate through spontaneous diffusion in a fluidic medium. In this case, the molecules can be subject solely to the laws of diffusion or can also be affected by non-predictable turbulence present in the fluidic medium. Pheromonal communication, when pheromones are released into a fluidic medium, such as air or water, is an example of diffusion-based architecture. Other examples of this kind of transport include calcium signaling among cells,[15] as well as quorum sensing among bacteria.[16]

Based on the macroscopic theory[17] of ideal (free) diffusion the impulse response of a unicast molecular communication channel was reported in a paper[18] that identified that the impulse response of the ideal diffusion based molecular communication channel experiences temporal spreading. Such temporal spreading has a deep impact in the performance of the system, for example in creating the intersymbol interference (ISI) at the receiving nanomachine.[19] In order to detect the concentration-encoded molecular signal two detection methods named sampling-based detection (SD) and energy-based detection (ED) have been proposed.[20] While the SD approach is based on the concentration amplitude of only one sample taken at a suitable time instant during the symbol duration, the ED approach is based on the total accumulated number of molecules received during the entire symbol duration. In order to reduce the impact of ISI a controlled pulse-width based molecular communication scheme has been analysed.[21] The work presented in [22] showed that it is possible to realize multilevel amplitude modulation based on ideal diffusion. A comprehensive study of pulse-based binary[23] and sinus-based,[24] [25] [26] [27] concentration-encoded molecular communication system have also been investigated.

See also

External links

Notes and References

  1. J. M. Jornet and M. Pierobon . Nanonetworks: A New Frontier in Communications . Communications of the ACM . 54 . 11 . 84–89 . November 2011 . 10.1145/2018396.2018417 . 240230920 .
  2. Book: Bush, S. F.. Nanoscale Communication Networks. 9781608070039. Artech House. 2010.
  3. C.. Rutherglen. P. J.. Burke. Nano-Electromagnetics: Circuit and Electromagnetic Properties of Carbon Nanotubes. Small. 5. 8. 884–906. 2009. 10.1002/smll.200800527. 19358165.
  4. A. E.. Curtright. P. J.. Bouwman. R. C.. Wartane. K. E.. Swider-Lyons. Power Sources for Nanotechnology. International Journal of Nanotechnology. 1. 226–239. 2004. 10.1504/IJNT.2004.003726. 2004IJNT....1..226C.
  5. Z. L.. Wang. Towards Self-Powered Nanosystems: From Nanogenerators to Nanopiezotronics. Advanced Functional Materials. 18. 3553–3567. 2008. 22. 10.1002/adfm.200800541. 43937604 .
  6. Bennewitz. R.. Crain. J. N.. Kirakosian. A.. Lin. J.L.. McChesney. J. L.. Petrovykh. D. Y.. Himpsel. F. J.. Atomic scale memory at a silicon surface. Nanotechnology. 13. 499–502. 2002. 4. 10.1088/0957-4484/13/4/312. cond-mat/0204251. 2002Nanot..13..499B. 15150349.
  7. Peter J.. Burke. Shengdong. Li. Zhen. Yu. Quantitative theory of nanowire and nanotube antenna performance. IEEE Transactions on Nanotechnology. 5. 4. 314–334. 2006. 10.1109/TNANO.2006.877430. cond-mat/0408418. 2006ITNan...5..314B. 2764025.
  8. Book: Peter J.. Burke. Chris. Rutherglen. Zhen. Yu. Akhlesh. Lakhtakia. Sergey A. Maksimenko. Nanomodeling II. Carbon Nanotube Antennas. 2006. 6328. 632806. 10.1117/12.678970. 59322398. http://www.burkelab.com/wp-content/uploads/SPIE2006.pdf. 10 June 2021. 10 June 2021. https://web.archive.org/web/20210610180946/http://www.burkelab.com/wp-content/uploads/SPIE2006.pdf. live.
  9. B.. Atakan. O.. Akan. Carbon nanotube-based nanoscale ad hoc networks. IEEE Communications Magazine. 48. 6. 129–135. June 2010. 10.1109/MCOM.2010.5473874. 20768350.
  10. J. M.. Jornet. Ian F.. Akyildiz. Graphene-based Nano-antennas for Electromagnetic Nanocommunications in the Terahertz Band. Proc. Of EUCAP 2010, Fourth European Conference on Antennas and Propagation, Barcelona, Spain. April 2010. 1–5. 2164-3342. 10 June 2021. 19 January 2018. https://web.archive.org/web/20180119115629/http://ieeexplore.ieee.org/document/5505569/. live.
  11. Book: Molecular Communication. T. Nakano . A. Eckford . T. Haraguchi. Cambridge University Press. 2013. 978-1107023086.
  12. M. . Moore . A. . Enomoto . T. . Nakano . R. . Egashira . T. . Suda . A. . Kayasuga . H. . Kojima . H. . Sakakibara . K. . Oiwa . A Design of a Molecular Communication System for Nanomachines Using Molecular Motors. Proc. Fourth Annual IEEE Conference on Pervasive Computing and Communications and Workshops. March 2006.
  13. M.. Gregori. Ian F.. Akyildiz. A New NanoNetwork Architecture using Flagellated Bacteria and Catalytic Nanomotors. IEEE Journal on Selected Areas in Communications. 28. 4. 612–619. May 2010. 10.1109/JSAC.2010.100510. 15166214.
  14. L.. Parcerisa. Ian F.. Akyildiz. Molecular Communication Options for Long Range Nanonetworks. Computer Networks . 53. 16. 2753–2766. November 2009. 10.1016/j.comnet.2009.08.001. 2099.1/8361. free.
  15. M. T.. Barros. Ca2+-signaling-based molecular communication systems: design and future research directions. Nano Communication Networks. 11. 103–113. 2017. 10.1016/j.nancom.2017.02.001. 16 August 2017. 23 April 2024. https://web.archive.org/web/20240423151949/https://www.sciencedirect.com/science/article/abs/pii/S1878778916300904. live.
  16. The challenge of molecular communication. Technology Review (Physics ArXiv Blog). 28 June 2010. 10 June 2021. 20 January 2021. https://web.archive.org/web/20210120174050/https://www.technologyreview.com/2010/06/28/202250/the-challenge-of-molecular-communication/. live.
  17. Book: Berg, H.C.. 1993. Random Walks in Biology. Princeton University Press. 9780691000640.
  18. M.U.. Mahfuz. D.. Makrakis. H.. Mouftah. Characterization of Molecular Communication Channel for Nanoscale Networks. Proc. 3rd International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS-2010). Valencia, Spain. 20–23 January 2010. 327–332. 10 June 2021. 20 September 2015. https://web.archive.org/web/20150920030238/http://www.uwgb.edu/mahfuzm/papers/Mahfuz_Makrakis_Mouftah_BIOSIGNALS_2010_131_CR_WithCitation.pdf. dead.
  19. M.U.. Mahfuz. D.. Makrakis. H.T.. Mouftah. On the characterization of binary concentration-encoded molecular communication in nanonetworks. Nano Communication Networks. 1. 2010. 4. 289–300. 10.1016/j.nancom.2011.01.001. 6 May 2012. 24 September 2015. https://web.archive.org/web/20150924191854/http://www.sciencedirect.com/science/article/pii/S1878778911000020. live.
  20. M.U.. Mahfuz. D.. Makrakis. H.T.. Mouftah. On the Detection of Binary Concentration-Encoded Unicast Molecular Communication in Nanonetworks. Proc. 4th International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS-2011). Rome, Italy. 26–29 January 2011. 446–449. 10 June 2021. 10 June 2021. https://web.archive.org/web/20210610180947/https://www.uwgb.edu/mahfuzm/papers/Mahfuz_Makrakis_Mouftah_BIOSIGNALS-2011paper_WithCitation.pdf. dead.
  21. Book: M.U.. Mahfuz. D.. Makrakis. H.T.. Mouftah. 2011 24th Canadian Conference on Electrical and Computer Engineering(CCECE) . Characterization of intersymbol interference in concentration-encoded unicast molecular communication . Niagara Falls, ON. 8–11 May 2011. 000164–000168. 10.1109/CCECE.2011.6030431. 978-1-4244-9788-1. 18387617.
  22. Book: M.U.. Mahfuz. D.. Makrakis. H.T.. Mouftah. 2011 24th Canadian Conference on Electrical and Computer Engineering(CCECE) . On the characteristics of concentration-encoded multi-level amplitude modulated unicast molecular communication . Niagara Falls, ON. 8–11 May 2011. 000312–000316. 10.1109/CCECE.2011.6030462. 978-1-4244-9788-1. 1646397.
  23. Book: M.U.. Mahfuz. D.. Makrakis. H.T.. Mouftah. 2011 11th IEEE International Conference on Nanotechnology . A comprehensive study of concentration-encoded unicast molecular communication with binary pulse transmission . Portland, Oregon, USA. 15–18 August 2011. 227–232. 10.1109/NANO.2011.6144554. 978-1-4577-1516-7. 23577179.
  24. Book: M.U.. Mahfuz. D.. Makrakis. H.T.. Mouftah. Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies . Transient characterization of concentration-encoded molecular communication with sinusoidal stimulation . Barcelona, Spain. 26–29 October 2011. 1–6. 10.1145/2093698.2093712. 9781450309134. 3490172.
  25. Ian F.. Akyildiz. F.. Brunetti. C.. Blazquez. Nanonetworks: A New Communication Paradigm. Computer Networks . 52. 12. 2260–2279. June 2008. 10.1016/j.comnet.2008.04.001.
  26. Ian F.. Akyildiz. J. M.. Jornet. Electromagnetic Wireless Nanosensor Networks. Nano Communication Networks . 1. 1. 3–19. June 2010. 10.1016/j.nancom.2010.04.001.
  27. Ian F.. Akyildiz. J. M.. Jornet. The Internet of Nano-Things. IEEE Wireless Communications . 17. 6. 58–63. December 2010. 10.1109/MWC.2010.5675779. 6919416.

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