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Nanonetwork

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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

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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

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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

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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

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References

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  1. ^ J. M. Jornet and M. Pierobon (November 2011). "Nanonetworks: A New Frontier in Communications". Communications of the ACM. 54 (11): 84–89. doi:10.1145/2018396.2018417. S2CID 240230920.
  2. ^ Bush, S. F. (2010). Nanoscale Communication Networks. Artech House. ISBN 9781608070039.
  3. ^ Rutherglen, C.; Burke, P. J. (2009). "Nano-Electromagnetics: Circuit and Electromagnetic Properties of Carbon Nanotubes". Small. 5 (8): 884–906. doi:10.1002/smll.200800527. PMID 19358165.
  4. ^ Curtright, A. E.; Bouwman, P. J.; Wartane, R. C.; Swider-Lyons, K. E. (2004). "Power Sources for Nanotechnology". International Journal of Nanotechnology. 1: 226–239. Bibcode:2004IJNT....1..226C. doi:10.1504/IJNT.2004.003726.
  5. ^ Wang, Z. L. (2008). "Towards Self-Powered Nanosystems: From Nanogenerators to Nanopiezotronics". Advanced Functional Materials. 18 (22): 3553–3567. doi:10.1002/adfm.200800541. S2CID 43937604.
  6. ^ Bennewitz, R.; Crain, J. N.; Kirakosian, A.; Lin, J.L.; McChesney, J. L.; Petrovykh, D. Y.; Himpsel, F. J. (2002). "Atomic scale memory at a silicon surface". Nanotechnology. 13 (4): 499–502. arXiv:cond-mat/0204251. Bibcode:2002Nanot..13..499B. doi:10.1088/0957-4484/13/4/312. S2CID 15150349.
  7. ^ Burke, Peter J.; Li, Shengdong; Yu, Zhen (2006). "Quantitative theory of nanowire and nanotube antenna performance". IEEE Transactions on Nanotechnology. 5 (4): 314–334. arXiv:cond-mat/0408418. Bibcode:2006ITNan...5..314B. doi:10.1109/TNANO.2006.877430. S2CID 2764025.
  8. ^ Burke, Peter J.; Rutherglen, Chris; Yu, Zhen (2006). "Carbon Nanotube Antennas" (PDF). In Lakhtakia, Akhlesh; Maksimenko, Sergey A (eds.). Nanomodeling II. Vol. 6328. p. 632806. doi:10.1117/12.678970. S2CID 59322398. Archived (PDF) from the original on 10 June 2021. Retrieved 10 June 2021.
  9. ^ Atakan, B.; Akan, O. (June 2010). "Carbon nanotube-based nanoscale ad hoc networks". IEEE Communications Magazine. 48 (6): 129–135. doi:10.1109/MCOM.2010.5473874. S2CID 20768350.
  10. ^ Jornet, J. M.; Akyildiz, Ian F. (April 2010). "Graphene-based Nano-antennas for Electromagnetic Nanocommunications in the Terahertz Band". Proc. Of EUCAP 2010, Fourth European Conference on Antennas and Propagation, Barcelona, Spain: 1–5. ISSN 2164-3342. Archived from the original on 19 January 2018. Retrieved 10 June 2021.
  11. ^ T. Nakano; A. Eckford; T. Haraguchi (2013). Molecular Communication. Cambridge University Press. ISBN 978-1107023086.
  12. ^ Moore, M.; Enomoto, A.; Nakano, T.; Egashira, R.; Suda, T.; Kayasuga, A.; Kojima, H.; Sakakibara, H.; Oiwa, K. (March 2006). "A Design of a Molecular Communication System for Nanomachines Using Molecular Motors". Proc. Fourth Annual IEEE Conference on Pervasive Computing and Communications and Workshops.
  13. ^ Gregori, M.; Akyildiz, Ian F. (May 2010). "A New NanoNetwork Architecture using Flagellated Bacteria and Catalytic Nanomotors". IEEE Journal on Selected Areas in Communications. 28 (4): 612–619. doi:10.1109/JSAC.2010.100510. S2CID 15166214.
  14. ^ Parcerisa, L.; Akyildiz, Ian F. (November 2009). "Molecular Communication Options for Long Range Nanonetworks". Computer Networks. 53 (16): 2753–2766. doi:10.1016/j.comnet.2009.08.001. hdl:2099.1/8361.
  15. ^ Barros, M. T. (2017). "Ca2+-signaling-based molecular communication systems: design and future research directions". Nano Communication Networks. 11: 103–113. doi:10.1016/j.nancom.2017.02.001. Archived from the original on 23 April 2024. Retrieved 16 August 2017.
  16. ^ "The challenge of molecular communication". Technology Review (Physics ArXiv Blog). 28 June 2010. Archived from the original on 20 January 2021. Retrieved 10 June 2021.
  17. ^ Berg, H.C. (1993). Random Walks in Biology. Princeton University Press. ISBN 9780691000640.
  18. ^ Mahfuz, M.U.; Makrakis, D.; Mouftah, H. (20–23 January 2010). "Characterization of Molecular Communication Channel for Nanoscale Networks" (PDF). Proc. 3rd International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS-2010). Valencia, Spain: 327–332. Archived from the original (PDF) on 20 September 2015. Retrieved 10 June 2021.
  19. ^ Mahfuz, M.U.; Makrakis, D.; Mouftah, H.T. (2010). "On the characterization of binary concentration-encoded molecular communication in nanonetworks". Nano Communication Networks. 1 (4): 289–300. doi:10.1016/j.nancom.2011.01.001. Archived from the original on 24 September 2015. Retrieved 6 May 2012.
  20. ^ Mahfuz, M.U.; Makrakis, D.; Mouftah, H.T. (26–29 January 2011). "On the Detection of Binary Concentration-Encoded Unicast Molecular Communication in Nanonetworks" (PDF). Proc. 4th International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS-2011). Rome, Italy: 446–449. Archived from the original (PDF) on 10 June 2021. Retrieved 10 June 2021.
  21. ^ Mahfuz, M.U.; Makrakis, D.; Mouftah, H.T. (8–11 May 2011). "Characterization of intersymbol interference in concentration-encoded unicast molecular communication". 2011 24th Canadian Conference on Electrical and Computer Engineering(CCECE). Niagara Falls, ON. pp. 000164–000168. doi:10.1109/CCECE.2011.6030431. ISBN 978-1-4244-9788-1. S2CID 18387617.{{cite book}}: CS1 maint: location missing publisher (link)
  22. ^ Mahfuz, M.U.; Makrakis, D.; Mouftah, H.T. (8–11 May 2011). "On the characteristics of concentration-encoded multi-level amplitude modulated unicast molecular communication". 2011 24th Canadian Conference on Electrical and Computer Engineering(CCECE). Niagara Falls, ON. pp. 000312–000316. doi:10.1109/CCECE.2011.6030462. ISBN 978-1-4244-9788-1. S2CID 1646397.{{cite book}}: CS1 maint: location missing publisher (link)
  23. ^ Mahfuz, M.U.; Makrakis, D.; Mouftah, H.T. (15–18 August 2011). "A comprehensive study of concentration-encoded unicast molecular communication with binary pulse transmission". 2011 11th IEEE International Conference on Nanotechnology. Portland, Oregon, USA. pp. 227–232. doi:10.1109/NANO.2011.6144554. ISBN 978-1-4577-1516-7. S2CID 23577179.{{cite book}}: CS1 maint: location missing publisher (link)
  24. ^ Mahfuz, M.U.; Makrakis, D.; Mouftah, H.T. (26–29 October 2011). "Transient characterization of concentration-encoded molecular communication with sinusoidal stimulation". Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies. Barcelona, Spain. pp. 1–6. doi:10.1145/2093698.2093712. ISBN 9781450309134. S2CID 3490172.{{cite book}}: CS1 maint: location missing publisher (link)
  25. ^ Akyildiz, Ian F.; Brunetti, F.; Blazquez, C. (June 2008). "Nanonetworks: A New Communication Paradigm". Computer Networks. 52 (12): 2260–2279. doi:10.1016/j.comnet.2008.04.001.
  26. ^ Akyildiz, Ian F.; Jornet, J. M. (June 2010). "Electromagnetic Wireless Nanosensor Networks". Nano Communication Networks. 1 (1): 3–19. doi:10.1016/j.nancom.2010.04.001.
  27. ^ Akyildiz, Ian F.; Jornet, J. M. (December 2010). "The Internet of Nano-Things". IEEE Wireless Communications. 17 (6): 58–63. doi:10.1109/MWC.2010.5675779. S2CID 6919416.


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